Reset repository and upload final project (part 14)

.venv_haddock/lib/python3.12/site-packages/pandas-2.3.3.dist-info/INSTALLER

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+pip

.venv_haddock/lib/python3.12/site-packages/pandas-2.3.3.dist-info/LICENSE

@@ -0,0 +1,1250 @@
+BSD 3-Clause License
+
+Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
+All rights reserved.
+
+Copyright (c) 2011-2023, Open source contributors.
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+Redistribution and use in source and binary forms, with or without
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+Copyright (c) 2010-2019 Keith Goodman
+Copyright (c) 2019 Bottleneck Developers
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+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.Copyright 2017- Paul Ganssle <paul@ganssle.io>
+Copyright 2017- dateutil contributors (see AUTHORS file)
+
+   Licensed under the Apache License, Version 2.0 (the "License");
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+The above license applies to all contributions after 2017-12-01, as well as
+all contributions that have been re-licensed (see AUTHORS file for the list of
+contributors who have re-licensed their code).
+--------------------------------------------------------------------------------
+dateutil - Extensions to the standard Python datetime module.
+
+Copyright (c) 2003-2011 - Gustavo Niemeyer <gustavo@niemeyer.net>
+Copyright (c) 2012-2014 - Tomi Pieviläinen <tomi.pievilainen@iki.fi>
+Copyright (c) 2014-2016 - Yaron de Leeuw <me@jarondl.net>
+Copyright (c) 2015-     - Paul Ganssle <paul@ganssle.io>
+Copyright (c) 2015-     - dateutil contributors (see AUTHORS file)
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+    * Neither the name of the copyright holder nor the names of its
+      contributors may be used to endorse or promote products derived from
+      this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+The above BSD License Applies to all code, even that also covered by Apache 2.0.# MIT License
+
+Copyright (c) 2019 Hadley Wickham; RStudio; and Evan Miller
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+Based on http://opensource.org/licenses/MIT
+
+This is a template. Complete and ship as file LICENSE the following 2
+lines (only)
+
+YEAR:
+COPYRIGHT HOLDER:
+
+and specify as
+
+License: MIT + file LICENSE
+
+Copyright (c) <YEAR>, <COPYRIGHT HOLDER>
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+The MIT License
+
+Copyright (c) 2008-     Attractive Chaos <attractor@live.co.uk>
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
+BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
+ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.musl as a whole is licensed under the following standard MIT license:
+
+----------------------------------------------------------------------
+Copyright © 2005-2020 Rich Felker, et al.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
+CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
+TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+----------------------------------------------------------------------
+
+Authors/contributors include:
+
+A. Wilcox
+Ada Worcester
+Alex Dowad
+Alex Suykov
+Alexander Monakov
+Andre McCurdy
+Andrew Kelley
+Anthony G. Basile
+Aric Belsito
+Arvid Picciani
+Bartosz Brachaczek
+Benjamin Peterson
+Bobby Bingham
+Boris Brezillon
+Brent Cook
+Chris Spiegel
+Clément Vasseur
+Daniel Micay
+Daniel Sabogal
+Daurnimator
+David Carlier
+David Edelsohn
+Denys Vlasenko
+Dmitry Ivanov
+Dmitry V. Levin
+Drew DeVault
+Emil Renner Berthing
+Fangrui Song
+Felix Fietkau
+Felix Janda
+Gianluca Anzolin
+Hauke Mehrtens
+He X
+Hiltjo Posthuma
+Isaac Dunham
+Jaydeep Patil
+Jens Gustedt
+Jeremy Huntwork
+Jo-Philipp Wich
+Joakim Sindholt
+John Spencer
+Julien Ramseier
+Justin Cormack
+Kaarle Ritvanen
+Khem Raj
+Kylie McClain
+Leah Neukirchen
+Luca Barbato
+Luka Perkov
+M Farkas-Dyck (Strake)
+Mahesh Bodapati
+Markus Wichmann
+Masanori Ogino
+Michael Clark
+Michael Forney
+Mikhail Kremnyov
+Natanael Copa
+Nicholas J. Kain
+orc
+Pascal Cuoq
+Patrick Oppenlander
+Petr Hosek
+Petr Skocik
+Pierre Carrier
+Reini Urban
+Rich Felker
+Richard Pennington
+Ryan Fairfax
+Samuel Holland
+Segev Finer
+Shiz
+sin
+Solar Designer
+Stefan Kristiansson
+Stefan O'Rear
+Szabolcs Nagy
+Timo Teräs
+Trutz Behn
+Valentin Ochs
+Will Dietz
+William Haddon
+William Pitcock
+
+Portions of this software are derived from third-party works licensed
+under terms compatible with the above MIT license:
+
+The TRE regular expression implementation (src/regex/reg* and
+src/regex/tre*) is Copyright © 2001-2008 Ville Laurikari and licensed
+under a 2-clause BSD license (license text in the source files). The
+included version has been heavily modified by Rich Felker in 2012, in
+the interests of size, simplicity, and namespace cleanliness.
+
+Much of the math library code (src/math/* and src/complex/*) is
+Copyright © 1993,2004 Sun Microsystems or
+Copyright © 2003-2011 David Schultz or
+Copyright © 2003-2009 Steven G. Kargl or
+Copyright © 2003-2009 Bruce D. Evans or
+Copyright © 2008 Stephen L. Moshier or
+Copyright © 2017-2018 Arm Limited
+and labelled as such in comments in the individual source files. All
+have been licensed under extremely permissive terms.
+
+The ARM memcpy code (src/string/arm/memcpy.S) is Copyright © 2008
+The Android Open Source Project and is licensed under a two-clause BSD
+license. It was taken from Bionic libc, used on Android.
+
+The AArch64 memcpy and memset code (src/string/aarch64/*) are
+Copyright © 1999-2019, Arm Limited.
+
+The implementation of DES for crypt (src/crypt/crypt_des.c) is
+Copyright © 1994 David Burren. It is licensed under a BSD license.
+
+The implementation of blowfish crypt (src/crypt/crypt_blowfish.c) was
+originally written by Solar Designer and placed into the public
+domain. The code also comes with a fallback permissive license for use
+in jurisdictions that may not recognize the public domain.
+
+The smoothsort implementation (src/stdlib/qsort.c) is Copyright © 2011
+Valentin Ochs and is licensed under an MIT-style license.
+
+The x86_64 port was written by Nicholas J. Kain and is licensed under
+the standard MIT terms.
+
+The mips and microblaze ports were originally written by Richard
+Pennington for use in the ellcc project. The original code was adapted
+by Rich Felker for build system and code conventions during upstream
+integration. It is licensed under the standard MIT terms.
+
+The mips64 port was contributed by Imagination Technologies and is
+licensed under the standard MIT terms.
+
+The powerpc port was also originally written by Richard Pennington,
+and later supplemented and integrated by John Spencer. It is licensed
+under the standard MIT terms.
+
+All other files which have no copyright comments are original works
+produced specifically for use as part of this library, written either
+by Rich Felker, the main author of the library, or by one or more
+contibutors listed above. Details on authorship of individual files
+can be found in the git version control history of the project. The
+omission of copyright and license comments in each file is in the
+interest of source tree size.
+
+In addition, permission is hereby granted for all public header files
+(include/* and arch/*/bits/*) and crt files intended to be linked into
+applications (crt/*, ldso/dlstart.c, and arch/*/crt_arch.h) to omit
+the copyright notice and permission notice otherwise required by the
+license, and to use these files without any requirement of
+attribution. These files include substantial contributions from:
+
+Bobby Bingham
+John Spencer
+Nicholas J. Kain
+Rich Felker
+Richard Pennington
+Stefan Kristiansson
+Szabolcs Nagy
+
+all of whom have explicitly granted such permission.
+
+This file previously contained text expressing a belief that most of
+the files covered by the above exception were sufficiently trivial not
+to be subject to copyright, resulting in confusion over whether it
+negated the permissions granted in the license. In the spirit of
+permissive licensing, and of not having licensing issues being an
+obstacle to adoption, that text has been removed.Copyright (c) 2005-2023, NumPy Developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+       notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above
+       copyright notice, this list of conditions and the following
+       disclaimer in the documentation and/or other materials provided
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+
+    * Neither the name of the NumPy Developers nor the names of any
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+
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+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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+Redistribution and use in source and binary forms, with or without
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+    1. Redistributions of source code must retain the above copyright notice,
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+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.A. HISTORY OF THE SOFTWARE
+==========================
+
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC.  Guido remains Python's
+principal author, although it includes many contributions from others.
+
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
+
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team.  In October of the same
+year, the PythonLabs team moved to Digital Creations, which became
+Zope Corporation.  In 2001, the Python Software Foundation (PSF, see
+https://www.python.org/psf/) was formed, a non-profit organization
+created specifically to own Python-related Intellectual Property.
+Zope Corporation was a sponsoring member of the PSF.
+
+All Python releases are Open Source (see https://opensource.org for
+the Open Source Definition).  Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+    Release         Derived     Year        Owner       GPL-
+                    from                                compatible? (1)
+
+    0.9.0 thru 1.2              1991-1995   CWI         yes
+    1.3 thru 1.5.2  1.2         1995-1999   CNRI        yes
+    1.6             1.5.2       2000        CNRI        no
+    2.0             1.6         2000        BeOpen.com  no
+    1.6.1           1.6         2001        CNRI        yes (2)
+    2.1             2.0+1.6.1   2001        PSF         no
+    2.0.1           2.0+1.6.1   2001        PSF         yes
+    2.1.1           2.1+2.0.1   2001        PSF         yes
+    2.1.2           2.1.1       2002        PSF         yes
+    2.1.3           2.1.2       2002        PSF         yes
+    2.2 and above   2.1.1       2001-now    PSF         yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+    the GPL.  All Python licenses, unlike the GPL, let you distribute
+    a modified version without making your changes open source.  The
+    GPL-compatible licenses make it possible to combine Python with
+    other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+    because its license has a choice of law clause.  According to
+    CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+    is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
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+Starting with Python 3.8.6, examples, recipes, and other code in
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+
+Some software incorporated into Python is under different licenses.
+The licenses are listed with code falling under that license.
+
+
+PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+--------------------------------------------
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+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
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+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
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+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+---------------------------------------
+
+1. This LICENSE AGREEMENT is between the Corporation for National
+Research Initiatives, having an office at 1895 Preston White Drive,
+Reston, VA 20191 ("CNRI"), and the Individual or Organization
+("Licensee") accessing and otherwise using Python 1.6.1 software in
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+the derivative work available to others as provided herein, then
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+Notwithstanding the foregoing, with regard to derivative works based
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+        ACCEPT
+
+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands.  All rights reserved.
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+Permission to use, copy, modify, and distribute this software and its
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+ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
+----------------------------------------------------------------------
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+Permission to use, copy, modify, and/or distribute this software for any
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+Copyright (c) 2014, Al Sweigart
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
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+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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+
+Redistribution and use in source and binary forms, with or without
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+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+----
+
+Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
+https://github.com/client9/stringencoders
+
+  Copyright 2005, 2006, 2007
+  Nick Galbreath -- nickg [at] modp [dot] com
+  All rights reserved.
+
+  Redistribution and use in source and binary forms, with or without
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+
+  This is the standard "new" BSD license:
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+
+https://github.com/client9/stringencoders/blob/cfd5c1507325ae497ea9bacdacba12c0ffd79d30/COPYING
+
+----
+
+Numeric decoder derived from from TCL library
+https://opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+ * Copyright (c) 1988-1993 The Regents of the University of California.
+ * Copyright (c) 1994 Sun Microsystems, Inc.
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.venv_haddock/lib/python3.12/site-packages/pandas-2.3.3.dist-info/METADATA

@@ -0,0 +1,1574 @@
+Metadata-Version: 2.1
+Name: pandas
+Version: 2.3.3
+Summary: Powerful data structures for data analysis, time series, and statistics
+Author-Email: The Pandas Development Team <pandas-dev@python.org>
+License: BSD 3-Clause License
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+         Portions of this software are derived from third-party works licensed
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+         The TRE regular expression implementation (src/regex/reg* and
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+               origin of the Work and reproducing the content of the NOTICE file.
+         
+            7. Disclaimer of Warranty. Unless required by applicable law or
+               agreed to in writing, Licensor provides the Work (and each
+               Contributor provides its Contributions) on an "AS IS" BASIS,
+               WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+               implied, including, without limitation, any warranties or conditions
+               of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+               PARTICULAR PURPOSE. You are solely responsible for determining the
+               appropriateness of using or redistributing the Work and assume any
+               risks associated with Your exercise of permissions under this License.
+         
+            8. Limitation of Liability. In no event and under no legal theory,
+               whether in tort (including negligence), contract, or otherwise,
+               unless required by applicable law (such as deliberate and grossly
+               negligent acts) or agreed to in writing, shall any Contributor be
+               liable to You for damages, including any direct, indirect, special,
+               incidental, or consequential damages of any character arising as a
+               result of this License or out of the use or inability to use the
+               Work (including but not limited to damages for loss of goodwill,
+               work stoppage, computer failure or malfunction, or any and all
+               other commercial damages or losses), even if such Contributor
+               has been advised of the possibility of such damages.
+         
+            9. Accepting Warranty or Additional Liability. While redistributing
+               the Work or Derivative Works thereof, You may choose to offer,
+               and charge a fee for, acceptance of support, warranty, indemnity,
+               or other liability obligations and/or rights consistent with this
+               License. However, in accepting such obligations, You may act only
+               on Your own behalf and on Your sole responsibility, not on behalf
+               of any other Contributor, and only if You agree to indemnify,
+               defend, and hold each Contributor harmless for any liability
+               incurred by, or claims asserted against, such Contributor by reason
+               of your accepting any such warranty or additional liability.
+         
+            END OF TERMS AND CONDITIONS
+         
+         
+         Copyright (c) Donald Stufft and individual contributors.
+         All rights reserved.
+         
+         Redistribution and use in source and binary forms, with or without
+         modification, are permitted provided that the following conditions are met:
+         
+             1. Redistributions of source code must retain the above copyright notice,
+                this list of conditions and the following disclaimer.
+         
+             2. Redistributions in binary form must reproduce the above copyright
+                notice, this list of conditions and the following disclaimer in the
+                documentation and/or other materials provided with the distribution.
+         
+         THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+         ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+         WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+         DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+         FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+         DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+         SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+         CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+         OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+         OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.A. HISTORY OF THE SOFTWARE
+         ==========================
+         
+         Python was created in the early 1990s by Guido van Rossum at Stichting
+         Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+         as a successor of a language called ABC.  Guido remains Python's
+         principal author, although it includes many contributions from others.
+         
+         In 1995, Guido continued his work on Python at the Corporation for
+         National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+         in Reston, Virginia where he released several versions of the
+         software.
+         
+         In May 2000, Guido and the Python core development team moved to
+         BeOpen.com to form the BeOpen PythonLabs team.  In October of the same
+         year, the PythonLabs team moved to Digital Creations, which became
+         Zope Corporation.  In 2001, the Python Software Foundation (PSF, see
+         https://www.python.org/psf/) was formed, a non-profit organization
+         created specifically to own Python-related Intellectual Property.
+         Zope Corporation was a sponsoring member of the PSF.
+         
+         All Python releases are Open Source (see https://opensource.org for
+         the Open Source Definition).  Historically, most, but not all, Python
+         releases have also been GPL-compatible; the table below summarizes
+         the various releases.
+         
+             Release         Derived     Year        Owner       GPL-
+                             from                                compatible? (1)
+         
+             0.9.0 thru 1.2              1991-1995   CWI         yes
+             1.3 thru 1.5.2  1.2         1995-1999   CNRI        yes
+             1.6             1.5.2       2000        CNRI        no
+             2.0             1.6         2000        BeOpen.com  no
+             1.6.1           1.6         2001        CNRI        yes (2)
+             2.1             2.0+1.6.1   2001        PSF         no
+             2.0.1           2.0+1.6.1   2001        PSF         yes
+             2.1.1           2.1+2.0.1   2001        PSF         yes
+             2.1.2           2.1.1       2002        PSF         yes
+             2.1.3           2.1.2       2002        PSF         yes
+             2.2 and above   2.1.1       2001-now    PSF         yes
+         
+         Footnotes:
+         
+         (1) GPL-compatible doesn't mean that we're distributing Python under
+             the GPL.  All Python licenses, unlike the GPL, let you distribute
+             a modified version without making your changes open source.  The
+             GPL-compatible licenses make it possible to combine Python with
+             other software that is released under the GPL; the others don't.
+         
+         (2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+             because its license has a choice of law clause.  According to
+             CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+             is "not incompatible" with the GPL.
+         
+         Thanks to the many outside volunteers who have worked under Guido's
+         direction to make these releases possible.
+         
+         
+         B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+         ===============================================================
+         
+         Python software and documentation are licensed under the
+         Python Software Foundation License Version 2.
+         
+         Starting with Python 3.8.6, examples, recipes, and other code in
+         the documentation are dual licensed under the PSF License Version 2
+         and the Zero-Clause BSD license.
+         
+         Some software incorporated into Python is under different licenses.
+         The licenses are listed with code falling under that license.
+         
+         
+         PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+         --------------------------------------------
+         
+         1. This LICENSE AGREEMENT is between the Python Software Foundation
+         ("PSF"), and the Individual or Organization ("Licensee") accessing and
+         otherwise using this software ("Python") in source or binary form and
+         its associated documentation.
+         
+         2. Subject to the terms and conditions of this License Agreement, PSF hereby
+         grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
+         analyze, test, perform and/or display publicly, prepare derivative works,
+         distribute, and otherwise use Python alone or in any derivative version,
+         provided, however, that PSF's License Agreement and PSF's notice of copyright,
+         i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+         2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation;
+         All Rights Reserved" are retained in Python alone or in any derivative version
+         prepared by Licensee.
+         
+         3. In the event Licensee prepares a derivative work that is based on
+         or incorporates Python or any part thereof, and wants to make
+         the derivative work available to others as provided herein, then
+         Licensee hereby agrees to include in any such work a brief summary of
+         the changes made to Python.
+         
+         4. PSF is making Python available to Licensee on an "AS IS"
+         basis.  PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+         IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+         DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+         FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
+         INFRINGE ANY THIRD PARTY RIGHTS.
+         
+         5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+         FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+         A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
+         OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+         
+         6. This License Agreement will automatically terminate upon a material
+         breach of its terms and conditions.
+         
+         7. Nothing in this License Agreement shall be deemed to create any
+         relationship of agency, partnership, or joint venture between PSF and
+         Licensee.  This License Agreement does not grant permission to use PSF
+         trademarks or trade name in a trademark sense to endorse or promote
+         products or services of Licensee, or any third party.
+         
+         8. By copying, installing or otherwise using Python, Licensee
+         agrees to be bound by the terms and conditions of this License
+         Agreement.
+         
+         
+         BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+         -------------------------------------------
+         
+         BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+         
+         1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+         office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+         Individual or Organization ("Licensee") accessing and otherwise using
+         this software in source or binary form and its associated
+         documentation ("the Software").
+         
+         2. Subject to the terms and conditions of this BeOpen Python License
+         Agreement, BeOpen hereby grants Licensee a non-exclusive,
+         royalty-free, world-wide license to reproduce, analyze, test, perform
+         and/or display publicly, prepare derivative works, distribute, and
+         otherwise use the Software alone or in any derivative version,
+         provided, however, that the BeOpen Python License is retained in the
+         Software, alone or in any derivative version prepared by Licensee.
+         
+         3. BeOpen is making the Software available to Licensee on an "AS IS"
+         basis.  BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+         IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
+         DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+         FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
+         INFRINGE ANY THIRD PARTY RIGHTS.
+         
+         4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
+         SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
+         AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
+         DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+         
+         5. This License Agreement will automatically terminate upon a material
+         breach of its terms and conditions.
+         
+         6. This License Agreement shall be governed by and interpreted in all
+         respects by the law of the State of California, excluding conflict of
+         law provisions.  Nothing in this License Agreement shall be deemed to
+         create any relationship of agency, partnership, or joint venture
+         between BeOpen and Licensee.  This License Agreement does not grant
+         permission to use BeOpen trademarks or trade names in a trademark
+         sense to endorse or promote products or services of Licensee, or any
+         third party.  As an exception, the "BeOpen Python" logos available at
+         http://www.pythonlabs.com/logos.html may be used according to the
+         permissions granted on that web page.
+         
+         7. By copying, installing or otherwise using the software, Licensee
+         agrees to be bound by the terms and conditions of this License
+         Agreement.
+         
+         
+         CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+         ---------------------------------------
+         
+         1. This LICENSE AGREEMENT is between the Corporation for National
+         Research Initiatives, having an office at 1895 Preston White Drive,
+         Reston, VA 20191 ("CNRI"), and the Individual or Organization
+         ("Licensee") accessing and otherwise using Python 1.6.1 software in
+         source or binary form and its associated documentation.
+         
+         2. Subject to the terms and conditions of this License Agreement, CNRI
+         hereby grants Licensee a nonexclusive, royalty-free, world-wide
+         license to reproduce, analyze, test, perform and/or display publicly,
+         prepare derivative works, distribute, and otherwise use Python 1.6.1
+         alone or in any derivative version, provided, however, that CNRI's
+         License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
+         1995-2001 Corporation for National Research Initiatives; All Rights
+         Reserved" are retained in Python 1.6.1 alone or in any derivative
+         version prepared by Licensee.  Alternately, in lieu of CNRI's License
+         Agreement, Licensee may substitute the following text (omitting the
+         quotes): "Python 1.6.1 is made available subject to the terms and
+         conditions in CNRI's License Agreement.  This Agreement together with
+         Python 1.6.1 may be located on the internet using the following
+         unique, persistent identifier (known as a handle): 1895.22/1013.  This
+         Agreement may also be obtained from a proxy server on the internet
+         using the following URL: http://hdl.handle.net/1895.22/1013".
+         
+         3. In the event Licensee prepares a derivative work that is based on
+         or incorporates Python 1.6.1 or any part thereof, and wants to make
+         the derivative work available to others as provided herein, then
+         Licensee hereby agrees to include in any such work a brief summary of
+         the changes made to Python 1.6.1.
+         
+         4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
+         basis.  CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+         IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
+         DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+         FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
+         INFRINGE ANY THIRD PARTY RIGHTS.
+         
+         5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+         1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+         A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
+         OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+         
+         6. This License Agreement will automatically terminate upon a material
+         breach of its terms and conditions.
+         
+         7. This License Agreement shall be governed by the federal
+         intellectual property law of the United States, including without
+         limitation the federal copyright law, and, to the extent such
+         U.S. federal law does not apply, by the law of the Commonwealth of
+         Virginia, excluding Virginia's conflict of law provisions.
+         Notwithstanding the foregoing, with regard to derivative works based
+         on Python 1.6.1 that incorporate non-separable material that was
+         previously distributed under the GNU General Public License (GPL), the
+         law of the Commonwealth of Virginia shall govern this License
+         Agreement only as to issues arising under or with respect to
+         Paragraphs 4, 5, and 7 of this License Agreement.  Nothing in this
+         License Agreement shall be deemed to create any relationship of
+         agency, partnership, or joint venture between CNRI and Licensee.  This
+         License Agreement does not grant permission to use CNRI trademarks or
+         trade name in a trademark sense to endorse or promote products or
+         services of Licensee, or any third party.
+         
+         8. By clicking on the "ACCEPT" button where indicated, or by copying,
+         installing or otherwise using Python 1.6.1, Licensee agrees to be
+         bound by the terms and conditions of this License Agreement.
+         
+                 ACCEPT
+         
+         
+         CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+         --------------------------------------------------
+         
+         Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+         The Netherlands.  All rights reserved.
+         
+         Permission to use, copy, modify, and distribute this software and its
+         documentation for any purpose and without fee is hereby granted,
+         provided that the above copyright notice appear in all copies and that
+         both that copyright notice and this permission notice appear in
+         supporting documentation, and that the name of Stichting Mathematisch
+         Centrum or CWI not be used in advertising or publicity pertaining to
+         distribution of the software without specific, written prior
+         permission.
+         
+         STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
+         THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+         FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
+         FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+         WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+         ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
+         OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+         
+         ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
+         ----------------------------------------------------------------------
+         
+         Permission to use, copy, modify, and/or distribute this software for any
+         purpose with or without fee is hereby granted.
+         
+         THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+         REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+         AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+         INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+         LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+         OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+         PERFORMANCE OF THIS SOFTWARE.
+         Copyright (c) 2014, Al Sweigart
+         All rights reserved.
+         
+         Redistribution and use in source and binary forms, with or without
+         modification, are permitted provided that the following conditions are met:
+         
+         * Redistributions of source code must retain the above copyright notice, this
+           list of conditions and the following disclaimer.
+         
+         * Redistributions in binary form must reproduce the above copyright notice,
+           this list of conditions and the following disclaimer in the documentation
+           and/or other materials provided with the distribution.
+         
+         * Neither the name of the {organization} nor the names of its
+           contributors may be used to endorse or promote products derived from
+           this software without specific prior written permission.
+         
+         THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+         AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+         IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+         DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+         FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+         DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+         SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+         CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+         OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+         OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Copyright (c) 2017 Anthony Sottile
+         
+         Permission is hereby granted, free of charge, to any person obtaining a copy
+         of this software and associated documentation files (the "Software"), to deal
+         in the Software without restriction, including without limitation the rights
+         to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+         copies of the Software, and to permit persons to whom the Software is
+         furnished to do so, subject to the following conditions:
+         
+         The above copyright notice and this permission notice shall be included in
+         all copies or substantial portions of the Software.
+         
+         THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+         IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+         FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+         AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+         LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+         OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+         THE SOFTWARE.Copyright (c) 2015-2019 Jared Hobbs
+         
+         Permission is hereby granted, free of charge, to any person obtaining a copy of
+         this software and associated documentation files (the "Software"), to deal in
+         the Software without restriction, including without limitation the rights to
+         use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
+         of the Software, and to permit persons to whom the Software is furnished to do
+         so, subject to the following conditions:
+         
+         The above copyright notice and this permission notice shall be included in all
+         copies or substantial portions of the Software.
+         
+         THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+         IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+         FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+         AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+         LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+         OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+         SOFTWARE.Developed by ESN, an Electronic Arts Inc. studio.
+         Copyright (c) 2014, Electronic Arts Inc.
+         All rights reserved.
+         
+         Redistribution and use in source and binary forms, with or without
+         modification, are permitted provided that the following conditions are met:
+         * Redistributions of source code must retain the above copyright
+         notice, this list of conditions and the following disclaimer.
+         * Redistributions in binary form must reproduce the above copyright
+         notice, this list of conditions and the following disclaimer in the
+         documentation and/or other materials provided with the distribution.
+         * Neither the name of ESN, Electronic Arts Inc. nor the
+         names of its contributors may be used to endorse or promote products
+         derived from this software without specific prior written permission.
+         
+         THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+         ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+         WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+         DISCLAIMED. IN NO EVENT SHALL ELECTRONIC ARTS INC. BE LIABLE
+         FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+         (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+         LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
+         ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+         (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+         SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+         
+         ----
+         
+         Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
+         https://github.com/client9/stringencoders
+         
+           Copyright 2005, 2006, 2007
+           Nick Galbreath -- nickg [at] modp [dot] com
+           All rights reserved.
+         
+           Redistribution and use in source and binary forms, with or without
+           modification, are permitted provided that the following conditions are
+           met:
+         
+             Redistributions of source code must retain the above copyright
+             notice, this list of conditions and the following disclaimer.
+         
+             Redistributions in binary form must reproduce the above copyright
+             notice, this list of conditions and the following disclaimer in the
+             documentation and/or other materials provided with the distribution.
+         
+             Neither the name of the modp.com nor the names of its
+             contributors may be used to endorse or promote products derived from
+             this software without specific prior written permission.
+         
+           THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+           "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+           LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+           A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+           OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+           SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+           LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+           DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+           THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+           (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+           OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+         
+           This is the standard "new" BSD license:
+           http://www.opensource.org/licenses/bsd-license.php
+         
+         https://github.com/client9/stringencoders/blob/cfd5c1507325ae497ea9bacdacba12c0ffd79d30/COPYING
+         
+         ----
+         
+         Numeric decoder derived from from TCL library
+         https://opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+          * Copyright (c) 1988-1993 The Regents of the University of California.
+          * Copyright (c) 1994 Sun Microsystems, Inc.
+         
+           This software is copyrighted by the Regents of the University of
+           California, Sun Microsystems, Inc., Scriptics Corporation, ActiveState
+           Corporation and other parties.  The following terms apply to all files
+           associated with the software unless explicitly disclaimed in
+           individual files.
+         
+           The authors hereby grant permission to use, copy, modify, distribute,
+           and license this software and its documentation for any purpose, provided
+           that existing copyright notices are retained in all copies and that this
+           notice is included verbatim in any distributions. No written agreement,
+           license, or royalty fee is required for any of the authorized uses.
+           Modifications to this software may be copyrighted by their authors
+           and need not follow the licensing terms described here, provided that
+           the new terms are clearly indicated on the first page of each file where
+           they apply.
+         
+           IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
+           FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
+           ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
+           DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
+           POSSIBILITY OF SUCH DAMAGE.
+         
+           THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
+           INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
+           FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT.  THIS SOFTWARE
+           IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
+           NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
+           MODIFICATIONS.
+         
+           GOVERNMENT USE: If you are acquiring this software on behalf of the
+           U.S. government, the Government shall have only "Restricted Rights"
+           in the software and related documentation as defined in the Federal
+           Acquisition Regulations (FARs) in Clause 52.227.19 (c) (2).  If you
+           are acquiring the software on behalf of the Department of Defense, the
+           software shall be classified as "Commercial Computer Software" and the
+           Government shall have only "Restricted Rights" as defined in Clause
+           252.227-7013 (c) (1) of DFARs.  Notwithstanding the foregoing, the
+           authors grant the U.S. Government and others acting in its behalf
+           permission to use and distribute the software in accordance with the
+           terms specified in this license.Apache License
+         Version 2.0, January 2004
+         http://www.apache.org/licenses/
+         
+         TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+         
+         1. Definitions.
+         
+         "License" shall mean the terms and conditions for use, reproduction, and
+         distribution as defined by Sections 1 through 9 of this document.
+         
+         "Licensor" shall mean the copyright owner or entity authorized by the copyright
+         owner that is granting the License.
+         
+         "Legal Entity" shall mean the union of the acting entity and all other entities
+         that control, are controlled by, or are under common control with that entity.
+         For the purposes of this definition, "control" means (i) the power, direct or
+         indirect, to cause the direction or management of such entity, whether by
+         contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the
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+Requires-Dist: qtpy>=2.3.0; extra == "all"
+Requires-Dist: scipy>=1.10.0; extra == "all"
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+Requires-Dist: SQLAlchemy>=2.0.0; extra == "all"
+Requires-Dist: tables>=3.8.0; extra == "all"
+Requires-Dist: tabulate>=0.9.0; extra == "all"
+Requires-Dist: xarray>=2022.12.0; extra == "all"
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+Requires-Dist: xlsxwriter>=3.0.5; extra == "all"
+Requires-Dist: zstandard>=0.19.0; extra == "all"
+Description-Content-Type: text/markdown
+
+<div align="center">
+  <img src="https://pandas.pydata.org/static/img/pandas.svg"><br>
+</div>
+
+-----------------
+
+# pandas: powerful Python data analysis toolkit
+
+| | |
+| --- | --- |
+| Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) |
+| Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) |
+| Meta | [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134) [![License - BSD 3-Clause](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [![Slack](https://img.shields.io/badge/join_Slack-information-brightgreen.svg?logo=slack)](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) |
+
+
+## What is it?
+
+**pandas** is a Python package that provides fast, flexible, and expressive data
+structures designed to make working with "relational" or "labeled" data both
+easy and intuitive. It aims to be the fundamental high-level building block for
+doing practical, **real world** data analysis in Python. Additionally, it has
+the broader goal of becoming **the most powerful and flexible open source data
+analysis / manipulation tool available in any language**. It is already well on
+its way towards this goal.
+
+## Table of Contents
+
+- [Main Features](#main-features)
+- [Where to get it](#where-to-get-it)
+- [Dependencies](#dependencies)
+- [Installation from sources](#installation-from-sources)
+- [License](#license)
+- [Documentation](#documentation)
+- [Background](#background)
+- [Getting Help](#getting-help)
+- [Discussion and Development](#discussion-and-development)
+- [Contributing to pandas](#contributing-to-pandas)
+
+## Main Features
+Here are just a few of the things that pandas does well:
+
+  - Easy handling of [**missing data**][missing-data] (represented as
+    `NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data
+  - Size mutability: columns can be [**inserted and
+    deleted**][insertion-deletion] from DataFrame and higher dimensional
+    objects
+  - Automatic and explicit [**data alignment**][alignment]: objects can
+    be explicitly aligned to a set of labels, or the user can simply
+    ignore the labels and let `Series`, `DataFrame`, etc. automatically
+    align the data for you in computations
+  - Powerful, flexible [**group by**][groupby] functionality to perform
+    split-apply-combine operations on data sets, for both aggregating
+    and transforming data
+  - Make it [**easy to convert**][conversion] ragged,
+    differently-indexed data in other Python and NumPy data structures
+    into DataFrame objects
+  - Intelligent label-based [**slicing**][slicing], [**fancy
+    indexing**][fancy-indexing], and [**subsetting**][subsetting] of
+    large data sets
+  - Intuitive [**merging**][merging] and [**joining**][joining] data
+    sets
+  - Flexible [**reshaping**][reshape] and [**pivoting**][pivot-table] of
+    data sets
+  - [**Hierarchical**][mi] labeling of axes (possible to have multiple
+    labels per tick)
+  - Robust IO tools for loading data from [**flat files**][flat-files]
+    (CSV and delimited), [**Excel files**][excel], [**databases**][db],
+    and saving/loading data from the ultrafast [**HDF5 format**][hdfstore]
+  - [**Time series**][timeseries]-specific functionality: date range
+    generation and frequency conversion, moving window statistics,
+    date shifting and lagging
+
+
+   [missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html
+   [insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion
+   [alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures
+   [groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine
+   [conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe
+   [slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges
+   [fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced
+   [subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing
+   [merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging
+   [joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index
+   [reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
+   [pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
+   [mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex
+   [flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files
+   [excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files
+   [db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries
+   [hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables
+   [timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality
+
+## Where to get it
+The source code is currently hosted on GitHub at:
+https://github.com/pandas-dev/pandas
+
+Binary installers for the latest released version are available at the [Python
+Package Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://docs.conda.io/en/latest/).
+
+```sh
+# conda
+conda install -c conda-forge pandas
+```
+
+```sh
+# or PyPI
+pip install pandas
+```
+
+The list of changes to pandas between each release can be found
+[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
+details, see the commit logs at https://github.com/pandas-dev/pandas.
+
+## Dependencies
+- [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)
+- [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)
+- [pytz - Brings the Olson tz database into Python which allows accurate and cross platform timezone calculations](https://github.com/stub42/pytz)
+
+See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies.
+
+## Installation from sources
+To install pandas from source you need [Cython](https://cython.org/) in addition to the normal
+dependencies above. Cython can be installed from PyPI:
+
+```sh
+pip install cython
+```
+
+In the `pandas` directory (same one where you found this file after
+cloning the git repo), execute:
+
+```sh
+pip install .
+```
+
+or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable):
+
+
+```sh
+python -m pip install -ve . --no-build-isolation --config-settings=editable-verbose=true
+```
+
+See the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html).
+
+## License
+[BSD 3](LICENSE)
+
+## Documentation
+The official documentation is hosted on [PyData.org](https://pandas.pydata.org/pandas-docs/stable/).
+
+## Background
+Work on ``pandas`` started at [AQR](https://www.aqr.com/) (a quantitative hedge fund) in 2008 and
+has been under active development since then.
+
+## Getting Help
+
+For usage questions, the best place to go to is [StackOverflow](https://stackoverflow.com/questions/tagged/pandas).
+Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
+
+## Discussion and Development
+Most development discussions take place on GitHub in this repo, via the [GitHub issue tracker](https://github.com/pandas-dev/pandas/issues).
+
+Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Slack channel](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) is available for quick development related questions.
+
+There are also frequent [community meetings](https://pandas.pydata.org/docs/dev/development/community.html#community-meeting) for project maintainers open to the community as well as monthly [new contributor meetings](https://pandas.pydata.org/docs/dev/development/community.html#new-contributor-meeting) to help support new contributors.
+
+Additional information on the communication channels can be found on the [contributor community](https://pandas.pydata.org/docs/development/community.html) page.
+
+## Contributing to pandas
+
+[![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)
+
+All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
+
+A detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**.
+
+If you are simply looking to start working with the pandas codebase, navigate to the [GitHub "issues" tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?labels=Docs&sort=updated&state=open) and [good first issue](https://github.com/pandas-dev/pandas/issues?labels=good+first+issue&sort=updated&state=open) where you could start out.
+
+You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to [subscribe to pandas on CodeTriage](https://www.codetriage.com/pandas-dev/pandas).
+
+Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’...you can do something about it!
+
+Feel free to ask questions on the [mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata) or on [Slack](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack).
+
+As contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: [Contributor Code of Conduct](https://github.com/pandas-dev/.github/blob/master/CODE_OF_CONDUCT.md)
+
+<hr>
+
+[Go to Top](#table-of-contents)

.venv_haddock/lib/python3.12/site-packages/pandas-2.3.3.dist-info/WHEEL

@@ -0,0 +1,6 @@
+Wheel-Version: 1.0
+Generator: meson
+Root-Is-Purelib: false
+Tag: cp312-cp312-macosx_11_0_arm64
+Generator: delocate 0.13.0
+

.venv_haddock/lib/python3.12/site-packages/pandas-2.3.3.dist-info/entry_points.txt

@@ -0,0 +1,3 @@
+[pandas_plotting_backends]
+matplotlib = pandas:plotting._matplotlib
+

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/test_quoting.py

@@ -0,0 +1,199 @@
+"""
+Tests that quoting specifications are properly handled
+during parsing for all of the parsers defined in parsers.py
+"""
+
+import csv
+from io import StringIO
+
+import pytest
+
+from pandas.compat import (
+    PY311,
+    PY314,
+)
+from pandas.errors import ParserError
+
+from pandas import DataFrame
+import pandas._testing as tm
+
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
+skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
+
+
+if PY314:
+    # TODO: write a regex that works with all new possitibilities here
+    MSG1 = ""
+    MSG2 = r"[\s\S]*"
+else:
+    MSG1 = "a(n)? 1-character string"
+    MSG2 = "string( or None)?"
+
+
+@pytest.mark.parametrize(
+    "kwargs,msg",
+    [
+        ({"quotechar": "foo"}, f'"quotechar" must be {MSG1}'),
+        (
+            {"quotechar": None, "quoting": csv.QUOTE_MINIMAL},
+            "quotechar must be set if quoting enabled",
+        ),
+        ({"quotechar": 2}, f'"quotechar" must be {MSG2}, not int'),
+    ],
+)
+@skip_pyarrow  # ParserError: CSV parse error: Empty CSV file or block
+def test_bad_quote_char(all_parsers, kwargs, msg):
+    data = "1,2,3"
+    parser = all_parsers
+
+    with pytest.raises(TypeError, match=msg):
+        parser.read_csv(StringIO(data), **kwargs)
+
+
+@pytest.mark.parametrize(
+    "quoting,msg",
+    [
+        ("foo", '"quoting" must be an integer|Argument'),
+        (10, 'bad "quoting" value'),  # quoting must be in the range [0, 3]
+    ],
+)
+@xfail_pyarrow  # ValueError: The 'quoting' option is not supported
+def test_bad_quoting(all_parsers, quoting, msg):
+    data = "1,2,3"
+    parser = all_parsers
+
+    with pytest.raises(TypeError, match=msg):
+        parser.read_csv(StringIO(data), quoting=quoting)
+
+
+def test_quote_char_basic(all_parsers):
+    parser = all_parsers
+    data = 'a,b,c\n1,2,"cat"'
+    expected = DataFrame([[1, 2, "cat"]], columns=["a", "b", "c"])
+
+    result = parser.read_csv(StringIO(data), quotechar='"')
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("quote_char", ["~", "*", "%", "$", "@", "P"])
+def test_quote_char_various(all_parsers, quote_char):
+    parser = all_parsers
+    expected = DataFrame([[1, 2, "cat"]], columns=["a", "b", "c"])
+
+    data = 'a,b,c\n1,2,"cat"'
+    new_data = data.replace('"', quote_char)
+
+    result = parser.read_csv(StringIO(new_data), quotechar=quote_char)
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: The 'quoting' option is not supported
+@pytest.mark.parametrize("quoting", [csv.QUOTE_MINIMAL, csv.QUOTE_NONE])
+@pytest.mark.parametrize("quote_char", ["", None])
+def test_null_quote_char(all_parsers, quoting, quote_char):
+    kwargs = {"quotechar": quote_char, "quoting": quoting}
+    data = "a,b,c\n1,2,3"
+    parser = all_parsers
+
+    if quoting != csv.QUOTE_NONE:
+        # Sanity checking.
+        if not PY314:
+            msg = "1-character string"
+        else:
+            msg = "unicode character or None"
+        msg = (
+            f'"quotechar" must be a {msg}'
+            if PY311 and all_parsers.engine == "python" and quote_char == ""
+            else "quotechar must be set if quoting enabled"
+        )
+
+        with pytest.raises(TypeError, match=msg):
+            parser.read_csv(StringIO(data), **kwargs)
+    elif not (PY311 and all_parsers.engine == "python"):
+        # Python 3.11+ doesn't support null/blank quote chars in their csv parsers
+        expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"])
+        result = parser.read_csv(StringIO(data), **kwargs)
+        tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "kwargs,exp_data",
+    [
+        ({}, [[1, 2, "foo"]]),  # Test default.
+        # QUOTE_MINIMAL only applies to CSV writing, so no effect on reading.
+        ({"quotechar": '"', "quoting": csv.QUOTE_MINIMAL}, [[1, 2, "foo"]]),
+        # QUOTE_MINIMAL only applies to CSV writing, so no effect on reading.
+        ({"quotechar": '"', "quoting": csv.QUOTE_ALL}, [[1, 2, "foo"]]),
+        # QUOTE_NONE tells the reader to do no special handling
+        # of quote characters and leave them alone.
+        ({"quotechar": '"', "quoting": csv.QUOTE_NONE}, [[1, 2, '"foo"']]),
+        # QUOTE_NONNUMERIC tells the reader to cast
+        # all non-quoted fields to float
+        ({"quotechar": '"', "quoting": csv.QUOTE_NONNUMERIC}, [[1.0, 2.0, "foo"]]),
+    ],
+)
+@xfail_pyarrow  # ValueError: The 'quoting' option is not supported
+def test_quoting_various(all_parsers, kwargs, exp_data):
+    data = '1,2,"foo"'
+    parser = all_parsers
+    columns = ["a", "b", "c"]
+
+    result = parser.read_csv(StringIO(data), names=columns, **kwargs)
+    expected = DataFrame(exp_data, columns=columns)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "doublequote,exp_data", [(True, [[3, '4 " 5']]), (False, [[3, '4 " 5"']])]
+)
+def test_double_quote(all_parsers, doublequote, exp_data, request):
+    parser = all_parsers
+    data = 'a,b\n3,"4 "" 5"'
+
+    if parser.engine == "pyarrow" and not doublequote:
+        mark = pytest.mark.xfail(reason="Mismatched result")
+        request.applymarker(mark)
+
+    result = parser.read_csv(StringIO(data), quotechar='"', doublequote=doublequote)
+    expected = DataFrame(exp_data, columns=["a", "b"])
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("quotechar", ['"', "\u0001"])
+def test_quotechar_unicode(all_parsers, quotechar):
+    # see gh-14477
+    data = "a\n1"
+    parser = all_parsers
+    expected = DataFrame({"a": [1]})
+
+    result = parser.read_csv(StringIO(data), quotechar=quotechar)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("balanced", [True, False])
+def test_unbalanced_quoting(all_parsers, balanced, request):
+    # see gh-22789.
+    parser = all_parsers
+    data = 'a,b,c\n1,2,"3'
+
+    if parser.engine == "pyarrow" and not balanced:
+        mark = pytest.mark.xfail(reason="Mismatched result")
+        request.applymarker(mark)
+
+    if balanced:
+        # Re-balance the quoting and read in without errors.
+        expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"])
+        result = parser.read_csv(StringIO(data + '"'))
+        tm.assert_frame_equal(result, expected)
+    else:
+        msg = (
+            "EOF inside string starting at row 1"
+            if parser.engine == "c"
+            else "unexpected end of data"
+        )
+
+        with pytest.raises(ParserError, match=msg):
+            parser.read_csv(StringIO(data))

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/test_read_fwf.py

@@ -0,0 +1,1034 @@
+"""
+Tests the 'read_fwf' function in parsers.py. This
+test suite is independent of the others because the
+engine is set to 'python-fwf' internally.
+"""
+
+from datetime import datetime
+from io import (
+    BytesIO,
+    StringIO,
+)
+from pathlib import Path
+
+import numpy as np
+import pytest
+
+from pandas.errors import EmptyDataError
+
+import pandas as pd
+from pandas import (
+    DataFrame,
+    DatetimeIndex,
+)
+import pandas._testing as tm
+
+from pandas.io.common import urlopen
+from pandas.io.parsers import (
+    read_csv,
+    read_fwf,
+)
+
+
+def test_basic():
+    data = """\
+A         B            C            D
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+201160    364.136849   183.628767   11806.2
+201161    413.836124   184.375703   11916.8
+201162    502.953953   173.237159   12468.3
+"""
+    result = read_fwf(StringIO(data))
+    expected = DataFrame(
+        [
+            [201158, 360.242940, 149.910199, 11950.7],
+            [201159, 444.953632, 166.985655, 11788.4],
+            [201160, 364.136849, 183.628767, 11806.2],
+            [201161, 413.836124, 184.375703, 11916.8],
+            [201162, 502.953953, 173.237159, 12468.3],
+        ],
+        columns=["A", "B", "C", "D"],
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_colspecs():
+    data = """\
+A   B     C            D            E
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+201160    364.136849   183.628767   11806.2
+201161    413.836124   184.375703   11916.8
+201162    502.953953   173.237159   12468.3
+"""
+    colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
+    result = read_fwf(StringIO(data), colspecs=colspecs)
+
+    expected = DataFrame(
+        [
+            [2011, 58, 360.242940, 149.910199, 11950.7],
+            [2011, 59, 444.953632, 166.985655, 11788.4],
+            [2011, 60, 364.136849, 183.628767, 11806.2],
+            [2011, 61, 413.836124, 184.375703, 11916.8],
+            [2011, 62, 502.953953, 173.237159, 12468.3],
+        ],
+        columns=["A", "B", "C", "D", "E"],
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_widths():
+    data = """\
+A    B    C            D            E
+2011 58   360.242940   149.910199   11950.7
+2011 59   444.953632   166.985655   11788.4
+2011 60   364.136849   183.628767   11806.2
+2011 61   413.836124   184.375703   11916.8
+2011 62   502.953953   173.237159   12468.3
+"""
+    result = read_fwf(StringIO(data), widths=[5, 5, 13, 13, 7])
+
+    expected = DataFrame(
+        [
+            [2011, 58, 360.242940, 149.910199, 11950.7],
+            [2011, 59, 444.953632, 166.985655, 11788.4],
+            [2011, 60, 364.136849, 183.628767, 11806.2],
+            [2011, 61, 413.836124, 184.375703, 11916.8],
+            [2011, 62, 502.953953, 173.237159, 12468.3],
+        ],
+        columns=["A", "B", "C", "D", "E"],
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_non_space_filler():
+    # From Thomas Kluyver:
+    #
+    # Apparently, some non-space filler characters can be seen, this is
+    # supported by specifying the 'delimiter' character:
+    #
+    # http://publib.boulder.ibm.com/infocenter/dmndhelp/v6r1mx/index.jsp?topic=/com.ibm.wbit.612.help.config.doc/topics/rfixwidth.html
+    data = """\
+A~~~~B~~~~C~~~~~~~~~~~~D~~~~~~~~~~~~E
+201158~~~~360.242940~~~149.910199~~~11950.7
+201159~~~~444.953632~~~166.985655~~~11788.4
+201160~~~~364.136849~~~183.628767~~~11806.2
+201161~~~~413.836124~~~184.375703~~~11916.8
+201162~~~~502.953953~~~173.237159~~~12468.3
+"""
+    colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
+    result = read_fwf(StringIO(data), colspecs=colspecs, delimiter="~")
+
+    expected = DataFrame(
+        [
+            [2011, 58, 360.242940, 149.910199, 11950.7],
+            [2011, 59, 444.953632, 166.985655, 11788.4],
+            [2011, 60, 364.136849, 183.628767, 11806.2],
+            [2011, 61, 413.836124, 184.375703, 11916.8],
+            [2011, 62, 502.953953, 173.237159, 12468.3],
+        ],
+        columns=["A", "B", "C", "D", "E"],
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_over_specified():
+    data = """\
+A   B     C            D            E
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+201160    364.136849   183.628767   11806.2
+201161    413.836124   184.375703   11916.8
+201162    502.953953   173.237159   12468.3
+"""
+    colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
+
+    with pytest.raises(ValueError, match="must specify only one of"):
+        read_fwf(StringIO(data), colspecs=colspecs, widths=[6, 10, 10, 7])
+
+
+def test_under_specified():
+    data = """\
+A   B     C            D            E
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+201160    364.136849   183.628767   11806.2
+201161    413.836124   184.375703   11916.8
+201162    502.953953   173.237159   12468.3
+"""
+    with pytest.raises(ValueError, match="Must specify either"):
+        read_fwf(StringIO(data), colspecs=None, widths=None)
+
+
+def test_read_csv_compat():
+    csv_data = """\
+A,B,C,D,E
+2011,58,360.242940,149.910199,11950.7
+2011,59,444.953632,166.985655,11788.4
+2011,60,364.136849,183.628767,11806.2
+2011,61,413.836124,184.375703,11916.8
+2011,62,502.953953,173.237159,12468.3
+"""
+    expected = read_csv(StringIO(csv_data), engine="python")
+
+    fwf_data = """\
+A   B     C            D            E
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+201160    364.136849   183.628767   11806.2
+201161    413.836124   184.375703   11916.8
+201162    502.953953   173.237159   12468.3
+"""
+    colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
+    result = read_fwf(StringIO(fwf_data), colspecs=colspecs)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_bytes_io_input():
+    data = BytesIO("שלום\nשלום".encode())  # noqa: RUF001
+    result = read_fwf(data, widths=[2, 2], encoding="utf8")
+    expected = DataFrame([["של", "ום"]], columns=["של", "ום"])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_fwf_colspecs_is_list_or_tuple():
+    data = """index,A,B,C,D
+foo,2,3,4,5
+bar,7,8,9,10
+baz,12,13,14,15
+qux,12,13,14,15
+foo2,12,13,14,15
+bar2,12,13,14,15
+"""
+
+    msg = "column specifications must be a list or tuple.+"
+
+    with pytest.raises(TypeError, match=msg):
+        read_fwf(StringIO(data), colspecs={"a": 1}, delimiter=",")
+
+
+def test_fwf_colspecs_is_list_or_tuple_of_two_element_tuples():
+    data = """index,A,B,C,D
+foo,2,3,4,5
+bar,7,8,9,10
+baz,12,13,14,15
+qux,12,13,14,15
+foo2,12,13,14,15
+bar2,12,13,14,15
+"""
+
+    msg = "Each column specification must be.+"
+
+    with pytest.raises(TypeError, match=msg):
+        read_fwf(StringIO(data), colspecs=[("a", 1)])
+
+
+@pytest.mark.parametrize(
+    "colspecs,exp_data",
+    [
+        ([(0, 3), (3, None)], [[123, 456], [456, 789]]),
+        ([(None, 3), (3, 6)], [[123, 456], [456, 789]]),
+        ([(0, None), (3, None)], [[123456, 456], [456789, 789]]),
+        ([(None, None), (3, 6)], [[123456, 456], [456789, 789]]),
+    ],
+)
+def test_fwf_colspecs_none(colspecs, exp_data):
+    # see gh-7079
+    data = """\
+123456
+456789
+"""
+    expected = DataFrame(exp_data)
+
+    result = read_fwf(StringIO(data), colspecs=colspecs, header=None)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "infer_nrows,exp_data",
+    [
+        # infer_nrows --> colspec == [(2, 3), (5, 6)]
+        (1, [[1, 2], [3, 8]]),
+        # infer_nrows > number of rows
+        (10, [[1, 2], [123, 98]]),
+    ],
+)
+def test_fwf_colspecs_infer_nrows(infer_nrows, exp_data):
+    # see gh-15138
+    data = """\
+  1  2
+123 98
+"""
+    expected = DataFrame(exp_data)
+
+    result = read_fwf(StringIO(data), infer_nrows=infer_nrows, header=None)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_fwf_regression():
+    # see gh-3594
+    #
+    # Turns out "T060" is parsable as a datetime slice!
+    tz_list = [1, 10, 20, 30, 60, 80, 100]
+    widths = [16] + [8] * len(tz_list)
+    names = ["SST"] + [f"T{z:03d}" for z in tz_list[1:]]
+
+    data = """  2009164202000   9.5403  9.4105  8.6571  7.8372  6.0612  5.8843  5.5192
+2009164203000   9.5435  9.2010  8.6167  7.8176  6.0804  5.8728  5.4869
+2009164204000   9.5873  9.1326  8.4694  7.5889  6.0422  5.8526  5.4657
+2009164205000   9.5810  9.0896  8.4009  7.4652  6.0322  5.8189  5.4379
+2009164210000   9.6034  9.0897  8.3822  7.4905  6.0908  5.7904  5.4039
+"""
+
+    with tm.assert_produces_warning(FutureWarning, match="use 'date_format' instead"):
+        result = read_fwf(
+            StringIO(data),
+            index_col=0,
+            header=None,
+            names=names,
+            widths=widths,
+            parse_dates=True,
+            date_parser=lambda s: datetime.strptime(s, "%Y%j%H%M%S"),
+        )
+    expected = DataFrame(
+        [
+            [9.5403, 9.4105, 8.6571, 7.8372, 6.0612, 5.8843, 5.5192],
+            [9.5435, 9.2010, 8.6167, 7.8176, 6.0804, 5.8728, 5.4869],
+            [9.5873, 9.1326, 8.4694, 7.5889, 6.0422, 5.8526, 5.4657],
+            [9.5810, 9.0896, 8.4009, 7.4652, 6.0322, 5.8189, 5.4379],
+            [9.6034, 9.0897, 8.3822, 7.4905, 6.0908, 5.7904, 5.4039],
+        ],
+        index=DatetimeIndex(
+            [
+                "2009-06-13 20:20:00",
+                "2009-06-13 20:30:00",
+                "2009-06-13 20:40:00",
+                "2009-06-13 20:50:00",
+                "2009-06-13 21:00:00",
+            ]
+        ),
+        columns=["SST", "T010", "T020", "T030", "T060", "T080", "T100"],
+    )
+    tm.assert_frame_equal(result, expected)
+    result = read_fwf(
+        StringIO(data),
+        index_col=0,
+        header=None,
+        names=names,
+        widths=widths,
+        parse_dates=True,
+        date_format="%Y%j%H%M%S",
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_fwf_for_uint8():
+    data = """1421302965.213420    PRI=3 PGN=0xef00      DST=0x17 SRC=0x28    04 154 00 00 00 00 00 127
+1421302964.226776    PRI=6 PGN=0xf002               SRC=0x47    243 00 00 255 247 00 00 71"""  # noqa: E501
+    df = read_fwf(
+        StringIO(data),
+        colspecs=[(0, 17), (25, 26), (33, 37), (49, 51), (58, 62), (63, 1000)],
+        names=["time", "pri", "pgn", "dst", "src", "data"],
+        converters={
+            "pgn": lambda x: int(x, 16),
+            "src": lambda x: int(x, 16),
+            "dst": lambda x: int(x, 16),
+            "data": lambda x: len(x.split(" ")),
+        },
+    )
+
+    expected = DataFrame(
+        [
+            [1421302965.213420, 3, 61184, 23, 40, 8],
+            [1421302964.226776, 6, 61442, None, 71, 8],
+        ],
+        columns=["time", "pri", "pgn", "dst", "src", "data"],
+    )
+    expected["dst"] = expected["dst"].astype(object)
+    tm.assert_frame_equal(df, expected)
+
+
+@pytest.mark.parametrize("comment", ["#", "~", "!"])
+def test_fwf_comment(comment):
+    data = """\
+  1   2.   4  #hello world
+  5  NaN  10.0
+"""
+    data = data.replace("#", comment)
+
+    colspecs = [(0, 3), (4, 9), (9, 25)]
+    expected = DataFrame([[1, 2.0, 4], [5, np.nan, 10.0]])
+
+    result = read_fwf(StringIO(data), colspecs=colspecs, header=None, comment=comment)
+    tm.assert_almost_equal(result, expected)
+
+
+def test_fwf_skip_blank_lines():
+    data = """
+
+A         B            C            D
+
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+
+
+201162    502.953953   173.237159   12468.3
+
+"""
+    result = read_fwf(StringIO(data), skip_blank_lines=True)
+    expected = DataFrame(
+        [
+            [201158, 360.242940, 149.910199, 11950.7],
+            [201159, 444.953632, 166.985655, 11788.4],
+            [201162, 502.953953, 173.237159, 12468.3],
+        ],
+        columns=["A", "B", "C", "D"],
+    )
+    tm.assert_frame_equal(result, expected)
+
+    data = """\
+A         B            C            D
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+
+
+201162    502.953953   173.237159   12468.3
+"""
+    result = read_fwf(StringIO(data), skip_blank_lines=False)
+    expected = DataFrame(
+        [
+            [201158, 360.242940, 149.910199, 11950.7],
+            [201159, 444.953632, 166.985655, 11788.4],
+            [np.nan, np.nan, np.nan, np.nan],
+            [np.nan, np.nan, np.nan, np.nan],
+            [201162, 502.953953, 173.237159, 12468.3],
+        ],
+        columns=["A", "B", "C", "D"],
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("thousands", [",", "#", "~"])
+def test_fwf_thousands(thousands):
+    data = """\
+ 1 2,334.0    5
+10   13     10.
+"""
+    data = data.replace(",", thousands)
+
+    colspecs = [(0, 3), (3, 11), (12, 16)]
+    expected = DataFrame([[1, 2334.0, 5], [10, 13, 10.0]])
+
+    result = read_fwf(
+        StringIO(data), header=None, colspecs=colspecs, thousands=thousands
+    )
+    tm.assert_almost_equal(result, expected)
+
+
+@pytest.mark.parametrize("header", [True, False])
+def test_bool_header_arg(header):
+    # see gh-6114
+    data = """\
+MyColumn
+   a
+   b
+   a
+   b"""
+
+    msg = "Passing a bool to header is invalid"
+    with pytest.raises(TypeError, match=msg):
+        read_fwf(StringIO(data), header=header)
+
+
+def test_full_file():
+    # File with all values.
+    test = """index                             A    B    C
+2000-01-03T00:00:00  0.980268513777    3  foo
+2000-01-04T00:00:00  1.04791624281    -4  bar
+2000-01-05T00:00:00  0.498580885705   73  baz
+2000-01-06T00:00:00  1.12020151869     1  foo
+2000-01-07T00:00:00  0.487094399463    0  bar
+2000-01-10T00:00:00  0.836648671666    2  baz
+2000-01-11T00:00:00  0.157160753327   34  foo"""
+    colspecs = ((0, 19), (21, 35), (38, 40), (42, 45))
+    expected = read_fwf(StringIO(test), colspecs=colspecs)
+
+    result = read_fwf(StringIO(test))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_full_file_with_missing():
+    # File with missing values.
+    test = """index                             A    B    C
+2000-01-03T00:00:00  0.980268513777    3  foo
+2000-01-04T00:00:00  1.04791624281    -4  bar
+                     0.498580885705   73  baz
+2000-01-06T00:00:00  1.12020151869     1  foo
+2000-01-07T00:00:00                    0  bar
+2000-01-10T00:00:00  0.836648671666    2  baz
+                                      34"""
+    colspecs = ((0, 19), (21, 35), (38, 40), (42, 45))
+    expected = read_fwf(StringIO(test), colspecs=colspecs)
+
+    result = read_fwf(StringIO(test))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_full_file_with_spaces():
+    # File with spaces in columns.
+    test = """
+Account                 Name  Balance     CreditLimit   AccountCreated
+101     Keanu Reeves          9315.45     10000.00           1/17/1998
+312     Gerard Butler         90.00       1000.00             8/6/2003
+868     Jennifer Love Hewitt  0           17000.00           5/25/1985
+761     Jada Pinkett-Smith    49654.87    100000.00          12/5/2006
+317     Bill Murray           789.65      5000.00             2/5/2007
+""".strip(
+        "\r\n"
+    )
+    colspecs = ((0, 7), (8, 28), (30, 38), (42, 53), (56, 70))
+    expected = read_fwf(StringIO(test), colspecs=colspecs)
+
+    result = read_fwf(StringIO(test))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_full_file_with_spaces_and_missing():
+    # File with spaces and missing values in columns.
+    test = """
+Account               Name    Balance     CreditLimit   AccountCreated
+101                           10000.00                       1/17/1998
+312     Gerard Butler         90.00       1000.00             8/6/2003
+868                                                          5/25/1985
+761     Jada Pinkett-Smith    49654.87    100000.00          12/5/2006
+317     Bill Murray           789.65
+""".strip(
+        "\r\n"
+    )
+    colspecs = ((0, 7), (8, 28), (30, 38), (42, 53), (56, 70))
+    expected = read_fwf(StringIO(test), colspecs=colspecs)
+
+    result = read_fwf(StringIO(test))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_messed_up_data():
+    # Completely messed up file.
+    test = """
+   Account          Name             Balance     Credit Limit   Account Created
+       101                           10000.00                       1/17/1998
+       312     Gerard Butler         90.00       1000.00
+
+       761     Jada Pinkett-Smith    49654.87    100000.00          12/5/2006
+  317          Bill Murray           789.65
+""".strip(
+        "\r\n"
+    )
+    colspecs = ((2, 10), (15, 33), (37, 45), (49, 61), (64, 79))
+    expected = read_fwf(StringIO(test), colspecs=colspecs)
+
+    result = read_fwf(StringIO(test))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_multiple_delimiters():
+    test = r"""
+col1~~~~~col2  col3++++++++++++++++++col4
+~~22.....11.0+++foo~~~~~~~~~~Keanu Reeves
+  33+++122.33\\\bar.........Gerard Butler
+++44~~~~12.01   baz~~Jennifer Love Hewitt
+~~55       11+++foo++++Jada Pinkett-Smith
+..66++++++.03~~~bar           Bill Murray
+""".strip(
+        "\r\n"
+    )
+    delimiter = " +~.\\"
+    colspecs = ((0, 4), (7, 13), (15, 19), (21, 41))
+    expected = read_fwf(StringIO(test), colspecs=colspecs, delimiter=delimiter)
+
+    result = read_fwf(StringIO(test), delimiter=delimiter)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_variable_width_unicode():
+    data = """
+שלום שלום
+ום   שלל
+של   ום
+""".strip(
+        "\r\n"
+    )
+    encoding = "utf8"
+    kwargs = {"header": None, "encoding": encoding}
+
+    expected = read_fwf(
+        BytesIO(data.encode(encoding)), colspecs=[(0, 4), (5, 9)], **kwargs
+    )
+    result = read_fwf(BytesIO(data.encode(encoding)), **kwargs)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("dtype", [{}, {"a": "float64", "b": str, "c": "int32"}])
+def test_dtype(dtype):
+    data = """ a    b    c
+1    2    3.2
+3    4    5.2
+"""
+    colspecs = [(0, 5), (5, 10), (10, None)]
+    result = read_fwf(StringIO(data), colspecs=colspecs, dtype=dtype)
+
+    expected = DataFrame(
+        {"a": [1, 3], "b": [2, 4], "c": [3.2, 5.2]}, columns=["a", "b", "c"]
+    )
+
+    for col, dt in dtype.items():
+        expected[col] = expected[col].astype(dt)
+
+    tm.assert_frame_equal(result, expected)
+
+
+def test_skiprows_inference():
+    # see gh-11256
+    data = """
+Text contained in the file header
+
+DataCol1   DataCol2
+     0.0        1.0
+   101.6      956.1
+""".strip()
+    skiprows = 2
+
+    depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated"
+    with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+        expected = read_csv(StringIO(data), skiprows=skiprows, delim_whitespace=True)
+
+    result = read_fwf(StringIO(data), skiprows=skiprows)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_skiprows_by_index_inference():
+    data = """
+To be skipped
+Not  To  Be  Skipped
+Once more to be skipped
+123  34   8      123
+456  78   9      456
+""".strip()
+    skiprows = [0, 2]
+
+    depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated"
+    with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+        expected = read_csv(StringIO(data), skiprows=skiprows, delim_whitespace=True)
+
+    result = read_fwf(StringIO(data), skiprows=skiprows)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_skiprows_inference_empty():
+    data = """
+AA   BBB  C
+12   345  6
+78   901  2
+""".strip()
+
+    msg = "No rows from which to infer column width"
+    with pytest.raises(EmptyDataError, match=msg):
+        read_fwf(StringIO(data), skiprows=3)
+
+
+def test_whitespace_preservation():
+    # see gh-16772
+    header = None
+    csv_data = """
+ a ,bbb
+ cc,dd """
+
+    fwf_data = """
+ a bbb
+ ccdd """
+    result = read_fwf(
+        StringIO(fwf_data), widths=[3, 3], header=header, skiprows=[0], delimiter="\n\t"
+    )
+    expected = read_csv(StringIO(csv_data), header=header)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_default_delimiter():
+    header = None
+    csv_data = """
+a,bbb
+cc,dd"""
+
+    fwf_data = """
+a \tbbb
+cc\tdd """
+    result = read_fwf(StringIO(fwf_data), widths=[3, 3], header=header, skiprows=[0])
+    expected = read_csv(StringIO(csv_data), header=header)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("infer", [True, False])
+def test_fwf_compression(compression_only, infer, compression_to_extension):
+    data = """1111111111
+    2222222222
+    3333333333""".strip()
+
+    compression = compression_only
+    extension = compression_to_extension[compression]
+
+    kwargs = {"widths": [5, 5], "names": ["one", "two"]}
+    expected = read_fwf(StringIO(data), **kwargs)
+
+    data = bytes(data, encoding="utf-8")
+
+    with tm.ensure_clean(filename="tmp." + extension) as path:
+        tm.write_to_compressed(compression, path, data)
+
+        if infer is not None:
+            kwargs["compression"] = "infer" if infer else compression
+
+        result = read_fwf(path, **kwargs)
+        tm.assert_frame_equal(result, expected)
+
+
+def test_binary_mode():
+    """
+    read_fwf supports opening files in binary mode.
+
+    GH 18035.
+    """
+    data = """aaa aaa aaa
+bba bab b a"""
+    df_reference = DataFrame(
+        [["bba", "bab", "b a"]], columns=["aaa", "aaa.1", "aaa.2"], index=[0]
+    )
+    with tm.ensure_clean() as path:
+        Path(path).write_text(data, encoding="utf-8")
+        with open(path, "rb") as file:
+            df = read_fwf(file)
+            file.seek(0)
+            tm.assert_frame_equal(df, df_reference)
+
+
+@pytest.mark.parametrize("memory_map", [True, False])
+def test_encoding_mmap(memory_map):
+    """
+    encoding should be working, even when using a memory-mapped file.
+
+    GH 23254.
+    """
+    encoding = "iso8859_1"
+    with tm.ensure_clean() as path:
+        Path(path).write_bytes(" 1 A Ä 2\n".encode(encoding))
+        df = read_fwf(
+            path,
+            header=None,
+            widths=[2, 2, 2, 2],
+            encoding=encoding,
+            memory_map=memory_map,
+        )
+    df_reference = DataFrame([[1, "A", "Ä", 2]])
+    tm.assert_frame_equal(df, df_reference)
+
+
+@pytest.mark.parametrize(
+    "colspecs, names, widths, index_col",
+    [
+        (
+            [(0, 6), (6, 12), (12, 18), (18, None)],
+            list("abcde"),
+            None,
+            None,
+        ),
+        (
+            None,
+            list("abcde"),
+            [6] * 4,
+            None,
+        ),
+        (
+            [(0, 6), (6, 12), (12, 18), (18, None)],
+            list("abcde"),
+            None,
+            True,
+        ),
+        (
+            None,
+            list("abcde"),
+            [6] * 4,
+            False,
+        ),
+        (
+            None,
+            list("abcde"),
+            [6] * 4,
+            True,
+        ),
+        (
+            [(0, 6), (6, 12), (12, 18), (18, None)],
+            list("abcde"),
+            None,
+            False,
+        ),
+    ],
+)
+def test_len_colspecs_len_names(colspecs, names, widths, index_col):
+    # GH#40830
+    data = """col1  col2  col3  col4
+    bab   ba    2"""
+    msg = "Length of colspecs must match length of names"
+    with pytest.raises(ValueError, match=msg):
+        read_fwf(
+            StringIO(data),
+            colspecs=colspecs,
+            names=names,
+            widths=widths,
+            index_col=index_col,
+        )
+
+
+@pytest.mark.parametrize(
+    "colspecs, names, widths, index_col, expected",
+    [
+        (
+            [(0, 6), (6, 12), (12, 18), (18, None)],
+            list("abc"),
+            None,
+            0,
+            DataFrame(
+                index=["col1", "ba"],
+                columns=["a", "b", "c"],
+                data=[["col2", "col3", "col4"], ["b   ba", "2", np.nan]],
+            ),
+        ),
+        (
+            [(0, 6), (6, 12), (12, 18), (18, None)],
+            list("ab"),
+            None,
+            [0, 1],
+            DataFrame(
+                index=[["col1", "ba"], ["col2", "b   ba"]],
+                columns=["a", "b"],
+                data=[["col3", "col4"], ["2", np.nan]],
+            ),
+        ),
+        (
+            [(0, 6), (6, 12), (12, 18), (18, None)],
+            list("a"),
+            None,
+            [0, 1, 2],
+            DataFrame(
+                index=[["col1", "ba"], ["col2", "b   ba"], ["col3", "2"]],
+                columns=["a"],
+                data=[["col4"], [np.nan]],
+            ),
+        ),
+        (
+            None,
+            list("abc"),
+            [6] * 4,
+            0,
+            DataFrame(
+                index=["col1", "ba"],
+                columns=["a", "b", "c"],
+                data=[["col2", "col3", "col4"], ["b   ba", "2", np.nan]],
+            ),
+        ),
+        (
+            None,
+            list("ab"),
+            [6] * 4,
+            [0, 1],
+            DataFrame(
+                index=[["col1", "ba"], ["col2", "b   ba"]],
+                columns=["a", "b"],
+                data=[["col3", "col4"], ["2", np.nan]],
+            ),
+        ),
+        (
+            None,
+            list("a"),
+            [6] * 4,
+            [0, 1, 2],
+            DataFrame(
+                index=[["col1", "ba"], ["col2", "b   ba"], ["col3", "2"]],
+                columns=["a"],
+                data=[["col4"], [np.nan]],
+            ),
+        ),
+    ],
+)
+def test_len_colspecs_len_names_with_index_col(
+    colspecs, names, widths, index_col, expected
+):
+    # GH#40830
+    data = """col1  col2  col3  col4
+    bab   ba    2"""
+    result = read_fwf(
+        StringIO(data),
+        colspecs=colspecs,
+        names=names,
+        widths=widths,
+        index_col=index_col,
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_colspecs_with_comment():
+    # GH 14135
+    result = read_fwf(
+        StringIO("#\nA1K\n"), colspecs=[(1, 2), (2, 3)], comment="#", header=None
+    )
+    expected = DataFrame([[1, "K"]], columns=[0, 1])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_skip_rows_and_n_rows():
+    # GH#44021
+    data = """a\tb
+1\t a
+2\t b
+3\t c
+4\t d
+5\t e
+6\t f
+    """
+    result = read_fwf(StringIO(data), nrows=4, skiprows=[2, 4])
+    expected = DataFrame({"a": [1, 3, 5, 6], "b": ["a", "c", "e", "f"]})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_skiprows_with_iterator():
+    # GH#10261, GH#56323
+    data = """0
+1
+2
+3
+4
+5
+6
+7
+8
+9
+    """
+    df_iter = read_fwf(
+        StringIO(data),
+        colspecs=[(0, 2)],
+        names=["a"],
+        iterator=True,
+        chunksize=2,
+        skiprows=[0, 1, 2, 6, 9],
+    )
+    expected_frames = [
+        DataFrame({"a": [3, 4]}),
+        DataFrame({"a": [5, 7]}, index=[2, 3]),
+        DataFrame({"a": [8]}, index=[4]),
+    ]
+    for i, result in enumerate(df_iter):
+        tm.assert_frame_equal(result, expected_frames[i])
+
+
+def test_names_and_infer_colspecs():
+    # GH#45337
+    data = """X   Y   Z
+      959.0    345   22.2
+    """
+    result = read_fwf(StringIO(data), skiprows=1, usecols=[0, 2], names=["a", "b"])
+    expected = DataFrame({"a": [959.0], "b": 22.2})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_widths_and_usecols():
+    # GH#46580
+    data = """0  1    n -0.4100.1
+0  2    p  0.2 90.1
+0  3    n -0.3140.4"""
+    result = read_fwf(
+        StringIO(data),
+        header=None,
+        usecols=(0, 1, 3),
+        widths=(3, 5, 1, 5, 5),
+        index_col=False,
+        names=("c0", "c1", "c3"),
+    )
+    expected = DataFrame(
+        {
+            "c0": 0,
+            "c1": [1, 2, 3],
+            "c3": [-0.4, 0.2, -0.3],
+        }
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_dtype_backend(string_storage, dtype_backend):
+    # GH#50289
+    data = """a  b    c      d  e     f  g    h  i
+1  2.5  True  a
+3  4.5  False b  True  6  7.5  a"""
+    with pd.option_context("mode.string_storage", string_storage):
+        result = read_fwf(StringIO(data), dtype_backend=dtype_backend)
+
+    if dtype_backend == "pyarrow":
+        pa = pytest.importorskip("pyarrow")
+        string_dtype = pd.ArrowDtype(pa.string())
+    else:
+        string_dtype = pd.StringDtype(string_storage)
+
+    expected = DataFrame(
+        {
+            "a": pd.Series([1, 3], dtype="Int64"),
+            "b": pd.Series([2.5, 4.5], dtype="Float64"),
+            "c": pd.Series([True, False], dtype="boolean"),
+            "d": pd.Series(["a", "b"], dtype=string_dtype),
+            "e": pd.Series([pd.NA, True], dtype="boolean"),
+            "f": pd.Series([pd.NA, 6], dtype="Int64"),
+            "g": pd.Series([pd.NA, 7.5], dtype="Float64"),
+            "h": pd.Series([None, "a"], dtype=string_dtype),
+            "i": pd.Series([pd.NA, pd.NA], dtype="Int64"),
+        }
+    )
+    if dtype_backend == "pyarrow":
+        pa = pytest.importorskip("pyarrow")
+        from pandas.arrays import ArrowExtensionArray
+
+        expected = DataFrame(
+            {
+                col: ArrowExtensionArray(pa.array(expected[col], from_pandas=True))
+                for col in expected.columns
+            }
+        )
+        expected["i"] = ArrowExtensionArray(pa.array([None, None]))
+
+    # the storage of the str columns' Index is also affected by the
+    # string_storage setting -> ignore that for checking the result
+    tm.assert_frame_equal(result, expected, check_column_type=False)
+
+
+def test_invalid_dtype_backend():
+    msg = (
+        "dtype_backend numpy is invalid, only 'numpy_nullable' and "
+        "'pyarrow' are allowed."
+    )
+    with pytest.raises(ValueError, match=msg):
+        read_fwf("test", dtype_backend="numpy")
+
+
+@pytest.mark.network
+@pytest.mark.single_cpu
+def test_url_urlopen(httpserver):
+    data = """\
+A         B            C            D
+201158    360.242940   149.910199   11950.7
+201159    444.953632   166.985655   11788.4
+201160    364.136849   183.628767   11806.2
+201161    413.836124   184.375703   11916.8
+201162    502.953953   173.237159   12468.3
+"""
+    httpserver.serve_content(content=data)
+    expected = pd.Index(list("ABCD"))
+    with urlopen(httpserver.url) as f:
+        result = read_fwf(f).columns
+
+    tm.assert_index_equal(result, expected)

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/test_skiprows.py

@@ -0,0 +1,334 @@
+"""
+Tests that skipped rows are properly handled during
+parsing for all of the parsers defined in parsers.py
+"""
+
+from datetime import datetime
+from io import StringIO
+
+import numpy as np
+import pytest
+
+from pandas.errors import EmptyDataError
+
+from pandas import (
+    DataFrame,
+    Index,
+)
+import pandas._testing as tm
+
+xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+@pytest.mark.parametrize("skiprows", [list(range(6)), 6])
+def test_skip_rows_bug(all_parsers, skiprows):
+    # see gh-505
+    parser = all_parsers
+    text = """#foo,a,b,c
+#foo,a,b,c
+#foo,a,b,c
+#foo,a,b,c
+#foo,a,b,c
+#foo,a,b,c
+1/1/2000,1.,2.,3.
+1/2/2000,4,5,6
+1/3/2000,7,8,9
+"""
+    result = parser.read_csv(
+        StringIO(text), skiprows=skiprows, header=None, index_col=0, parse_dates=True
+    )
+    index = Index(
+        [datetime(2000, 1, 1), datetime(2000, 1, 2), datetime(2000, 1, 3)], name=0
+    )
+
+    expected = DataFrame(
+        np.arange(1.0, 10.0).reshape((3, 3)), columns=[1, 2, 3], index=index
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_deep_skip_rows(all_parsers):
+    # see gh-4382
+    parser = all_parsers
+    data = "a,b,c\n" + "\n".join(
+        [",".join([str(i), str(i + 1), str(i + 2)]) for i in range(10)]
+    )
+    condensed_data = "a,b,c\n" + "\n".join(
+        [",".join([str(i), str(i + 1), str(i + 2)]) for i in [0, 1, 2, 3, 4, 6, 8, 9]]
+    )
+
+    result = parser.read_csv(StringIO(data), skiprows=[6, 8])
+    condensed_result = parser.read_csv(StringIO(condensed_data))
+    tm.assert_frame_equal(result, condensed_result)
+
+
+@xfail_pyarrow  # AssertionError: DataFrame are different
+def test_skip_rows_blank(all_parsers):
+    # see gh-9832
+    parser = all_parsers
+    text = """#foo,a,b,c
+#foo,a,b,c
+
+#foo,a,b,c
+#foo,a,b,c
+
+1/1/2000,1.,2.,3.
+1/2/2000,4,5,6
+1/3/2000,7,8,9
+"""
+    data = parser.read_csv(
+        StringIO(text), skiprows=6, header=None, index_col=0, parse_dates=True
+    )
+    index = Index(
+        [datetime(2000, 1, 1), datetime(2000, 1, 2), datetime(2000, 1, 3)], name=0
+    )
+
+    expected = DataFrame(
+        np.arange(1.0, 10.0).reshape((3, 3)), columns=[1, 2, 3], index=index
+    )
+    tm.assert_frame_equal(data, expected)
+
+
+@pytest.mark.parametrize(
+    "data,kwargs,expected",
+    [
+        (
+            """id,text,num_lines
+1,"line 11
+line 12",2
+2,"line 21
+line 22",2
+3,"line 31",1""",
+            {"skiprows": [1]},
+            DataFrame(
+                [[2, "line 21\nline 22", 2], [3, "line 31", 1]],
+                columns=["id", "text", "num_lines"],
+            ),
+        ),
+        (
+            "a,b,c\n~a\n b~,~e\n d~,~f\n f~\n1,2,~12\n 13\n 14~",
+            {"quotechar": "~", "skiprows": [2]},
+            DataFrame([["a\n b", "e\n d", "f\n f"]], columns=["a", "b", "c"]),
+        ),
+        (
+            (
+                "Text,url\n~example\n "
+                "sentence\n one~,url1\n~"
+                "example\n sentence\n two~,url2\n~"
+                "example\n sentence\n three~,url3"
+            ),
+            {"quotechar": "~", "skiprows": [1, 3]},
+            DataFrame([["example\n sentence\n two", "url2"]], columns=["Text", "url"]),
+        ),
+    ],
+)
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_row_with_newline(all_parsers, data, kwargs, expected):
+    # see gh-12775 and gh-10911
+    parser = all_parsers
+    result = parser.read_csv(StringIO(data), **kwargs)
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_row_with_quote(all_parsers):
+    # see gh-12775 and gh-10911
+    parser = all_parsers
+    data = """id,text,num_lines
+1,"line '11' line 12",2
+2,"line '21' line 22",2
+3,"line '31' line 32",1"""
+
+    exp_data = [[2, "line '21' line 22", 2], [3, "line '31' line 32", 1]]
+    expected = DataFrame(exp_data, columns=["id", "text", "num_lines"])
+
+    result = parser.read_csv(StringIO(data), skiprows=[1])
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "data,exp_data",
+    [
+        (
+            """id,text,num_lines
+1,"line \n'11' line 12",2
+2,"line \n'21' line 22",2
+3,"line \n'31' line 32",1""",
+            [[2, "line \n'21' line 22", 2], [3, "line \n'31' line 32", 1]],
+        ),
+        (
+            """id,text,num_lines
+1,"line '11\n' line 12",2
+2,"line '21\n' line 22",2
+3,"line '31\n' line 32",1""",
+            [[2, "line '21\n' line 22", 2], [3, "line '31\n' line 32", 1]],
+        ),
+        (
+            """id,text,num_lines
+1,"line '11\n' \r\tline 12",2
+2,"line '21\n' \r\tline 22",2
+3,"line '31\n' \r\tline 32",1""",
+            [[2, "line '21\n' \r\tline 22", 2], [3, "line '31\n' \r\tline 32", 1]],
+        ),
+    ],
+)
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_row_with_newline_and_quote(all_parsers, data, exp_data):
+    # see gh-12775 and gh-10911
+    parser = all_parsers
+    result = parser.read_csv(StringIO(data), skiprows=[1])
+
+    expected = DataFrame(exp_data, columns=["id", "text", "num_lines"])
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: The 'delim_whitespace' option is not supported
+@pytest.mark.parametrize(
+    "lineterminator", ["\n", "\r\n", "\r"]  # "LF"  # "CRLF"  # "CR"
+)
+def test_skiprows_lineterminator(all_parsers, lineterminator, request):
+    # see gh-9079
+    parser = all_parsers
+    data = "\n".join(
+        [
+            "SMOSMANIA ThetaProbe-ML2X ",
+            "2007/01/01 01:00   0.2140 U M ",
+            "2007/01/01 02:00   0.2141 M O ",
+            "2007/01/01 04:00   0.2142 D M ",
+        ]
+    )
+    expected = DataFrame(
+        [
+            ["2007/01/01", "01:00", 0.2140, "U", "M"],
+            ["2007/01/01", "02:00", 0.2141, "M", "O"],
+            ["2007/01/01", "04:00", 0.2142, "D", "M"],
+        ],
+        columns=["date", "time", "var", "flag", "oflag"],
+    )
+
+    if parser.engine == "python" and lineterminator == "\r":
+        mark = pytest.mark.xfail(reason="'CR' not respect with the Python parser yet")
+        request.applymarker(mark)
+
+    data = data.replace("\n", lineterminator)
+
+    depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated"
+    with tm.assert_produces_warning(
+        FutureWarning, match=depr_msg, check_stacklevel=False
+    ):
+        result = parser.read_csv(
+            StringIO(data),
+            skiprows=1,
+            delim_whitespace=True,
+            names=["date", "time", "var", "flag", "oflag"],
+        )
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # AssertionError: DataFrame are different
+def test_skiprows_infield_quote(all_parsers):
+    # see gh-14459
+    parser = all_parsers
+    data = 'a"\nb"\na\n1'
+    expected = DataFrame({"a": [1]})
+
+    result = parser.read_csv(StringIO(data), skiprows=2)
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+@pytest.mark.parametrize(
+    "kwargs,expected",
+    [
+        ({}, DataFrame({"1": [3, 5]})),
+        ({"header": 0, "names": ["foo"]}, DataFrame({"foo": [3, 5]})),
+    ],
+)
+def test_skip_rows_callable(all_parsers, kwargs, expected):
+    parser = all_parsers
+    data = "a\n1\n2\n3\n4\n5"
+
+    result = parser.read_csv(StringIO(data), skiprows=lambda x: x % 2 == 0, **kwargs)
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_rows_callable_not_in(all_parsers):
+    parser = all_parsers
+    data = "0,a\n1,b\n2,c\n3,d\n4,e"
+    expected = DataFrame([[1, "b"], [3, "d"]])
+
+    result = parser.read_csv(
+        StringIO(data), header=None, skiprows=lambda x: x not in [1, 3]
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_rows_skip_all(all_parsers):
+    parser = all_parsers
+    data = "a\n1\n2\n3\n4\n5"
+    msg = "No columns to parse from file"
+
+    with pytest.raises(EmptyDataError, match=msg):
+        parser.read_csv(StringIO(data), skiprows=lambda x: True)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_rows_bad_callable(all_parsers):
+    msg = "by zero"
+    parser = all_parsers
+    data = "a\n1\n2\n3\n4\n5"
+
+    with pytest.raises(ZeroDivisionError, match=msg):
+        parser.read_csv(StringIO(data), skiprows=lambda x: 1 / 0)
+
+
+@xfail_pyarrow  # ValueError: skiprows argument must be an integer
+def test_skip_rows_and_n_rows(all_parsers):
+    # GH#44021
+    data = """a,b
+1,a
+2,b
+3,c
+4,d
+5,e
+6,f
+7,g
+8,h
+"""
+    parser = all_parsers
+    result = parser.read_csv(StringIO(data), nrows=5, skiprows=[2, 4, 6])
+    expected = DataFrame({"a": [1, 3, 5, 7, 8], "b": ["a", "c", "e", "g", "h"]})
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow
+def test_skip_rows_with_chunks(all_parsers):
+    # GH 55677
+    data = """col_a
+10
+20
+30
+40
+50
+60
+70
+80
+90
+100
+"""
+    parser = all_parsers
+    reader = parser.read_csv(
+        StringIO(data), engine=parser, skiprows=lambda x: x in [1, 4, 5], chunksize=4
+    )
+    df1 = next(reader)
+    df2 = next(reader)
+
+    tm.assert_frame_equal(df1, DataFrame({"col_a": [20, 30, 60, 70]}))
+    tm.assert_frame_equal(df2, DataFrame({"col_a": [80, 90, 100]}, index=[4, 5, 6]))

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/test_textreader.py

@@ -0,0 +1,342 @@
+"""
+Tests the TextReader class in parsers.pyx, which
+is integral to the C engine in parsers.py
+"""
+from io import (
+    BytesIO,
+    StringIO,
+)
+
+import numpy as np
+import pytest
+
+import pandas._libs.parsers as parser
+from pandas._libs.parsers import TextReader
+from pandas.errors import ParserWarning
+
+from pandas import DataFrame
+import pandas._testing as tm
+
+from pandas.io.parsers import (
+    TextFileReader,
+    read_csv,
+)
+from pandas.io.parsers.c_parser_wrapper import ensure_dtype_objs
+
+
+class TestTextReader:
+    @pytest.fixture
+    def csv_path(self, datapath):
+        return datapath("io", "data", "csv", "test1.csv")
+
+    def test_file_handle(self, csv_path):
+        with open(csv_path, "rb") as f:
+            reader = TextReader(f)
+            reader.read()
+
+    def test_file_handle_mmap(self, csv_path):
+        # this was never using memory_map=True
+        with open(csv_path, "rb") as f:
+            reader = TextReader(f, header=None)
+            reader.read()
+
+    def test_StringIO(self, csv_path):
+        with open(csv_path, "rb") as f:
+            text = f.read()
+        src = BytesIO(text)
+        reader = TextReader(src, header=None)
+        reader.read()
+
+    def test_string_factorize(self):
+        # should this be optional?
+        data = "a\nb\na\nb\na"
+        reader = TextReader(StringIO(data), header=None)
+        result = reader.read()
+        assert len(set(map(id, result[0]))) == 2
+
+    def test_skipinitialspace(self):
+        data = "a,   b\na,   b\na,   b\na,   b"
+
+        reader = TextReader(StringIO(data), skipinitialspace=True, header=None)
+        result = reader.read()
+
+        tm.assert_numpy_array_equal(
+            result[0], np.array(["a", "a", "a", "a"], dtype=np.object_)
+        )
+        tm.assert_numpy_array_equal(
+            result[1], np.array(["b", "b", "b", "b"], dtype=np.object_)
+        )
+
+    def test_parse_booleans(self):
+        data = "True\nFalse\nTrue\nTrue"
+
+        reader = TextReader(StringIO(data), header=None)
+        result = reader.read()
+
+        assert result[0].dtype == np.bool_
+
+    def test_delimit_whitespace(self):
+        data = 'a  b\na\t\t "b"\n"a"\t \t b'
+
+        reader = TextReader(StringIO(data), delim_whitespace=True, header=None)
+        result = reader.read()
+
+        tm.assert_numpy_array_equal(
+            result[0], np.array(["a", "a", "a"], dtype=np.object_)
+        )
+        tm.assert_numpy_array_equal(
+            result[1], np.array(["b", "b", "b"], dtype=np.object_)
+        )
+
+    def test_embedded_newline(self):
+        data = 'a\n"hello\nthere"\nthis'
+
+        reader = TextReader(StringIO(data), header=None)
+        result = reader.read()
+
+        expected = np.array(["a", "hello\nthere", "this"], dtype=np.object_)
+        tm.assert_numpy_array_equal(result[0], expected)
+
+    def test_euro_decimal(self):
+        data = "12345,67\n345,678"
+
+        reader = TextReader(StringIO(data), delimiter=":", decimal=",", header=None)
+        result = reader.read()
+
+        expected = np.array([12345.67, 345.678])
+        tm.assert_almost_equal(result[0], expected)
+
+    def test_integer_thousands(self):
+        data = "123,456\n12,500"
+
+        reader = TextReader(StringIO(data), delimiter=":", thousands=",", header=None)
+        result = reader.read()
+
+        expected = np.array([123456, 12500], dtype=np.int64)
+        tm.assert_almost_equal(result[0], expected)
+
+    def test_integer_thousands_alt(self):
+        data = "123.456\n12.500"
+
+        reader = TextFileReader(
+            StringIO(data), delimiter=":", thousands=".", header=None
+        )
+        result = reader.read()
+
+        expected = DataFrame([123456, 12500])
+        tm.assert_frame_equal(result, expected)
+
+    def test_skip_bad_lines(self):
+        # too many lines, see #2430 for why
+        data = "a:b:c\nd:e:f\ng:h:i\nj:k:l:m\nl:m:n\no:p:q:r"
+
+        reader = TextReader(StringIO(data), delimiter=":", header=None)
+        msg = r"Error tokenizing data\. C error: Expected 3 fields in line 4, saw 4"
+        with pytest.raises(parser.ParserError, match=msg):
+            reader.read()
+
+        reader = TextReader(
+            StringIO(data), delimiter=":", header=None, on_bad_lines=2  # Skip
+        )
+        result = reader.read()
+        expected = {
+            0: np.array(["a", "d", "g", "l"], dtype=object),
+            1: np.array(["b", "e", "h", "m"], dtype=object),
+            2: np.array(["c", "f", "i", "n"], dtype=object),
+        }
+        assert_array_dicts_equal(result, expected)
+
+        with tm.assert_produces_warning(ParserWarning, match="Skipping line"):
+            reader = TextReader(
+                StringIO(data), delimiter=":", header=None, on_bad_lines=1  # Warn
+            )
+            reader.read()
+
+    def test_header_not_enough_lines(self):
+        data = "skip this\nskip this\na,b,c\n1,2,3\n4,5,6"
+
+        reader = TextReader(StringIO(data), delimiter=",", header=2)
+        header = reader.header
+        expected = [["a", "b", "c"]]
+        assert header == expected
+
+        recs = reader.read()
+        expected = {
+            0: np.array([1, 4], dtype=np.int64),
+            1: np.array([2, 5], dtype=np.int64),
+            2: np.array([3, 6], dtype=np.int64),
+        }
+        assert_array_dicts_equal(recs, expected)
+
+    def test_escapechar(self):
+        data = '\\"hello world"\n\\"hello world"\n\\"hello world"'
+
+        reader = TextReader(StringIO(data), delimiter=",", header=None, escapechar="\\")
+        result = reader.read()
+        expected = {0: np.array(['"hello world"'] * 3, dtype=object)}
+        assert_array_dicts_equal(result, expected)
+
+    def test_eof_has_eol(self):
+        # handling of new line at EOF
+        pass
+
+    def test_na_substitution(self):
+        pass
+
+    def test_numpy_string_dtype(self):
+        data = """\
+a,1
+aa,2
+aaa,3
+aaaa,4
+aaaaa,5"""
+
+        def _make_reader(**kwds):
+            if "dtype" in kwds:
+                kwds["dtype"] = ensure_dtype_objs(kwds["dtype"])
+            return TextReader(StringIO(data), delimiter=",", header=None, **kwds)
+
+        reader = _make_reader(dtype="S5,i4")
+        result = reader.read()
+
+        assert result[0].dtype == "S5"
+
+        ex_values = np.array(["a", "aa", "aaa", "aaaa", "aaaaa"], dtype="S5")
+        assert (result[0] == ex_values).all()
+        assert result[1].dtype == "i4"
+
+        reader = _make_reader(dtype="S4")
+        result = reader.read()
+        assert result[0].dtype == "S4"
+        ex_values = np.array(["a", "aa", "aaa", "aaaa", "aaaa"], dtype="S4")
+        assert (result[0] == ex_values).all()
+        assert result[1].dtype == "S4"
+
+    def test_pass_dtype(self):
+        data = """\
+one,two
+1,a
+2,b
+3,c
+4,d"""
+
+        def _make_reader(**kwds):
+            if "dtype" in kwds:
+                kwds["dtype"] = ensure_dtype_objs(kwds["dtype"])
+            return TextReader(StringIO(data), delimiter=",", **kwds)
+
+        reader = _make_reader(dtype={"one": "u1", 1: "S1"})
+        result = reader.read()
+        assert result[0].dtype == "u1"
+        assert result[1].dtype == "S1"
+
+        reader = _make_reader(dtype={"one": np.uint8, 1: object})
+        result = reader.read()
+        assert result[0].dtype == "u1"
+        assert result[1].dtype == "O"
+
+        reader = _make_reader(dtype={"one": np.dtype("u1"), 1: np.dtype("O")})
+        result = reader.read()
+        assert result[0].dtype == "u1"
+        assert result[1].dtype == "O"
+
+    def test_usecols(self):
+        data = """\
+a,b,c
+1,2,3
+4,5,6
+7,8,9
+10,11,12"""
+
+        def _make_reader(**kwds):
+            return TextReader(StringIO(data), delimiter=",", **kwds)
+
+        reader = _make_reader(usecols=(1, 2))
+        result = reader.read()
+
+        exp = _make_reader().read()
+        assert len(result) == 2
+        assert (result[1] == exp[1]).all()
+        assert (result[2] == exp[2]).all()
+
+    @pytest.mark.parametrize(
+        "text, kwargs",
+        [
+            ("a,b,c\r1,2,3\r4,5,6\r7,8,9\r10,11,12", {"delimiter": ","}),
+            (
+                "a  b  c\r1  2  3\r4  5  6\r7  8  9\r10  11  12",
+                {"delim_whitespace": True},
+            ),
+            ("a,b,c\r1,2,3\r4,5,6\r,88,9\r10,11,12", {"delimiter": ","}),
+            (
+                (
+                    "A,B,C,D,E,F,G,H,I,J,K,L,M,N,O\r"
+                    "AAAAA,BBBBB,0,0,0,0,0,0,0,0,0,0,0,0,0\r"
+                    ",BBBBB,0,0,0,0,0,0,0,0,0,0,0,0,0"
+                ),
+                {"delimiter": ","},
+            ),
+            ("A  B  C\r  2  3\r4  5  6", {"delim_whitespace": True}),
+            ("A B C\r2 3\r4 5 6", {"delim_whitespace": True}),
+        ],
+    )
+    def test_cr_delimited(self, text, kwargs):
+        nice_text = text.replace("\r", "\r\n")
+        result = TextReader(StringIO(text), **kwargs).read()
+        expected = TextReader(StringIO(nice_text), **kwargs).read()
+        assert_array_dicts_equal(result, expected)
+
+    def test_empty_field_eof(self):
+        data = "a,b,c\n1,2,3\n4,,"
+
+        result = TextReader(StringIO(data), delimiter=",").read()
+
+        expected = {
+            0: np.array([1, 4], dtype=np.int64),
+            1: np.array(["2", ""], dtype=object),
+            2: np.array(["3", ""], dtype=object),
+        }
+        assert_array_dicts_equal(result, expected)
+
+    @pytest.mark.parametrize("repeat", range(10))
+    def test_empty_field_eof_mem_access_bug(self, repeat):
+        # GH5664
+        a = DataFrame([["b"], [np.nan]], columns=["a"], index=["a", "c"])
+        b = DataFrame([[1, 1, 1, 0], [1, 1, 1, 0]], columns=list("abcd"), index=[1, 1])
+        c = DataFrame(
+            [
+                [1, 2, 3, 4],
+                [6, np.nan, np.nan, np.nan],
+                [8, 9, 10, 11],
+                [13, 14, np.nan, np.nan],
+            ],
+            columns=list("abcd"),
+            index=[0, 5, 7, 12],
+        )
+
+        df = read_csv(StringIO("a,b\nc\n"), skiprows=0, names=["a"], engine="c")
+        tm.assert_frame_equal(df, a)
+
+        df = read_csv(
+            StringIO("1,1,1,1,0\n" * 2 + "\n" * 2), names=list("abcd"), engine="c"
+        )
+        tm.assert_frame_equal(df, b)
+
+        df = read_csv(
+            StringIO("0,1,2,3,4\n5,6\n7,8,9,10,11\n12,13,14"),
+            names=list("abcd"),
+            engine="c",
+        )
+        tm.assert_frame_equal(df, c)
+
+    def test_empty_csv_input(self):
+        # GH14867
+        with read_csv(
+            StringIO(), chunksize=20, header=None, names=["a", "b", "c"]
+        ) as df:
+            assert isinstance(df, TextFileReader)
+
+
+def assert_array_dicts_equal(left, right):
+    for k, v in left.items():
+        tm.assert_numpy_array_equal(np.asarray(v), np.asarray(right[k]))

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/test_unsupported.py

@@ -0,0 +1,226 @@
+"""
+Tests that features that are currently unsupported in
+either the Python or C parser are actually enforced
+and are clearly communicated to the user.
+
+Ultimately, the goal is to remove test cases from this
+test suite as new feature support is added to the parsers.
+"""
+from io import StringIO
+import os
+from pathlib import Path
+
+import pytest
+
+from pandas.errors import ParserError
+
+import pandas._testing as tm
+
+from pandas.io.parsers import read_csv
+import pandas.io.parsers.readers as parsers
+
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+
+
+@pytest.fixture(params=["python", "python-fwf"], ids=lambda val: val)
+def python_engine(request):
+    return request.param
+
+
+class TestUnsupportedFeatures:
+    def test_mangle_dupe_cols_false(self):
+        # see gh-12935
+        data = "a b c\n1 2 3"
+
+        for engine in ("c", "python"):
+            with pytest.raises(TypeError, match="unexpected keyword"):
+                read_csv(StringIO(data), engine=engine, mangle_dupe_cols=True)
+
+    def test_c_engine(self):
+        # see gh-6607
+        data = "a b c\n1 2 3"
+        msg = "does not support"
+
+        depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated"
+
+        # specify C engine with unsupported options (raise)
+        with pytest.raises(ValueError, match=msg):
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+                read_csv(StringIO(data), engine="c", sep=None, delim_whitespace=False)
+        with pytest.raises(ValueError, match=msg):
+            read_csv(StringIO(data), engine="c", sep=r"\s")
+        with pytest.raises(ValueError, match=msg):
+            read_csv(StringIO(data), engine="c", sep="\t", quotechar=chr(128))
+        with pytest.raises(ValueError, match=msg):
+            read_csv(StringIO(data), engine="c", skipfooter=1)
+
+        # specify C-unsupported options without python-unsupported options
+        with tm.assert_produces_warning((parsers.ParserWarning, FutureWarning)):
+            read_csv(StringIO(data), sep=None, delim_whitespace=False)
+        with tm.assert_produces_warning(parsers.ParserWarning):
+            read_csv(StringIO(data), sep=r"\s")
+        with tm.assert_produces_warning(parsers.ParserWarning):
+            read_csv(StringIO(data), sep="\t", quotechar=chr(128))
+        with tm.assert_produces_warning(parsers.ParserWarning):
+            read_csv(StringIO(data), skipfooter=1)
+
+        text = """                      A       B       C       D        E
+one two three   four
+a   b   10.0032 5    -0.5109 -2.3358 -0.4645  0.05076  0.3640
+a   q   20      4     0.4473  1.4152  0.2834  1.00661  0.1744
+x   q   30      3    -0.6662 -0.5243 -0.3580  0.89145  2.5838"""
+        msg = "Error tokenizing data"
+
+        with pytest.raises(ParserError, match=msg):
+            read_csv(StringIO(text), sep="\\s+")
+        with pytest.raises(ParserError, match=msg):
+            read_csv(StringIO(text), engine="c", sep="\\s+")
+
+        msg = "Only length-1 thousands markers supported"
+        data = """A|B|C
+1|2,334|5
+10|13|10.
+"""
+        with pytest.raises(ValueError, match=msg):
+            read_csv(StringIO(data), thousands=",,")
+        with pytest.raises(ValueError, match=msg):
+            read_csv(StringIO(data), thousands="")
+
+        msg = "Only length-1 line terminators supported"
+        data = "a,b,c~~1,2,3~~4,5,6"
+        with pytest.raises(ValueError, match=msg):
+            read_csv(StringIO(data), lineterminator="~~")
+
+    def test_python_engine(self, python_engine):
+        from pandas.io.parsers.readers import _python_unsupported as py_unsupported
+
+        data = """1,2,3,,
+1,2,3,4,
+1,2,3,4,5
+1,2,,,
+1,2,3,4,"""
+
+        for default in py_unsupported:
+            msg = (
+                f"The {repr(default)} option is not "
+                f"supported with the {repr(python_engine)} engine"
+            )
+
+            kwargs = {default: object()}
+            with pytest.raises(ValueError, match=msg):
+                read_csv(StringIO(data), engine=python_engine, **kwargs)
+
+    def test_python_engine_file_no_iter(self, python_engine):
+        # see gh-16530
+        class NoNextBuffer:
+            def __init__(self, csv_data) -> None:
+                self.data = csv_data
+
+            def __next__(self):
+                return self.data.__next__()
+
+            def read(self):
+                return self.data
+
+            def readline(self):
+                return self.data
+
+        data = "a\n1"
+        msg = "'NoNextBuffer' object is not iterable|argument 1 must be an iterator"
+
+        with pytest.raises(TypeError, match=msg):
+            read_csv(NoNextBuffer(data), engine=python_engine)
+
+    def test_pyarrow_engine(self):
+        from pandas.io.parsers.readers import _pyarrow_unsupported as pa_unsupported
+
+        data = """1,2,3,,
+        1,2,3,4,
+        1,2,3,4,5
+        1,2,,,
+        1,2,3,4,"""
+
+        for default in pa_unsupported:
+            msg = (
+                f"The {repr(default)} option is not "
+                f"supported with the 'pyarrow' engine"
+            )
+            kwargs = {default: object()}
+            default_needs_bool = {"warn_bad_lines", "error_bad_lines"}
+            if default == "dialect":
+                kwargs[default] = "excel"  # test a random dialect
+            elif default in default_needs_bool:
+                kwargs[default] = True
+            elif default == "on_bad_lines":
+                kwargs[default] = "warn"
+
+            warn = None
+            depr_msg = None
+            if "delim_whitespace" in kwargs:
+                depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated"
+                warn = FutureWarning
+            if "verbose" in kwargs:
+                depr_msg = "The 'verbose' keyword in pd.read_csv is deprecated"
+                warn = FutureWarning
+
+            with pytest.raises(ValueError, match=msg):
+                with tm.assert_produces_warning(warn, match=depr_msg):
+                    read_csv(StringIO(data), engine="pyarrow", **kwargs)
+
+    def test_on_bad_lines_callable_python_or_pyarrow(self, all_parsers):
+        # GH 5686
+        # GH 54643
+        sio = StringIO("a,b\n1,2")
+        bad_lines_func = lambda x: x
+        parser = all_parsers
+        if all_parsers.engine not in ["python", "pyarrow"]:
+            msg = (
+                "on_bad_line can only be a callable "
+                "function if engine='python' or 'pyarrow'"
+            )
+            with pytest.raises(ValueError, match=msg):
+                parser.read_csv(sio, on_bad_lines=bad_lines_func)
+        else:
+            parser.read_csv(sio, on_bad_lines=bad_lines_func)
+
+
+def test_close_file_handle_on_invalid_usecols(all_parsers):
+    # GH 45384
+    parser = all_parsers
+
+    error = ValueError
+    if parser.engine == "pyarrow":
+        # Raises pyarrow.lib.ArrowKeyError
+        pytest.skip(reason="https://github.com/apache/arrow/issues/38676")
+
+    with tm.ensure_clean("test.csv") as fname:
+        Path(fname).write_text("col1,col2\na,b\n1,2", encoding="utf-8")
+        with tm.assert_produces_warning(False):
+            with pytest.raises(error, match="col3"):
+                parser.read_csv(fname, usecols=["col1", "col2", "col3"])
+        # unlink fails on windows if file handles still point to it
+        os.unlink(fname)
+
+
+def test_invalid_file_inputs(request, all_parsers):
+    # GH#45957
+    parser = all_parsers
+    if parser.engine == "python":
+        request.applymarker(
+            pytest.mark.xfail(reason=f"{parser.engine} engine supports lists.")
+        )
+
+    with pytest.raises(ValueError, match="Invalid"):
+        parser.read_csv([])
+
+
+def test_invalid_dtype_backend(all_parsers):
+    parser = all_parsers
+    msg = (
+        "dtype_backend numpy is invalid, only 'numpy_nullable' and "
+        "'pyarrow' are allowed."
+    )
+    with pytest.raises(ValueError, match=msg):
+        parser.read_csv("test", dtype_backend="numpy")

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/test_upcast.py

@@ -0,0 +1,102 @@
+import numpy as np
+import pytest
+
+from pandas._libs.parsers import (
+    _maybe_upcast,
+    na_values,
+)
+
+import pandas as pd
+from pandas import NA
+import pandas._testing as tm
+from pandas.core.arrays import (
+    ArrowStringArray,
+    BooleanArray,
+    FloatingArray,
+    IntegerArray,
+    StringArray,
+)
+
+
+def test_maybe_upcast(any_real_numpy_dtype):
+    # GH#36712
+
+    dtype = np.dtype(any_real_numpy_dtype)
+    na_value = na_values[dtype]
+    arr = np.array([1, 2, na_value], dtype=dtype)
+    result = _maybe_upcast(arr, use_dtype_backend=True)
+
+    expected_mask = np.array([False, False, True])
+    if issubclass(dtype.type, np.integer):
+        expected = IntegerArray(arr, mask=expected_mask)
+    else:
+        expected = FloatingArray(arr, mask=expected_mask)
+
+    tm.assert_extension_array_equal(result, expected)
+
+
+def test_maybe_upcast_no_na(any_real_numpy_dtype):
+    # GH#36712
+    arr = np.array([1, 2, 3], dtype=any_real_numpy_dtype)
+    result = _maybe_upcast(arr, use_dtype_backend=True)
+
+    expected_mask = np.array([False, False, False])
+    if issubclass(np.dtype(any_real_numpy_dtype).type, np.integer):
+        expected = IntegerArray(arr, mask=expected_mask)
+    else:
+        expected = FloatingArray(arr, mask=expected_mask)
+
+    tm.assert_extension_array_equal(result, expected)
+
+
+def test_maybe_upcaste_bool():
+    # GH#36712
+    dtype = np.bool_
+    na_value = na_values[dtype]
+    arr = np.array([True, False, na_value], dtype="uint8").view(dtype)
+    result = _maybe_upcast(arr, use_dtype_backend=True)
+
+    expected_mask = np.array([False, False, True])
+    expected = BooleanArray(arr, mask=expected_mask)
+    tm.assert_extension_array_equal(result, expected)
+
+
+def test_maybe_upcaste_bool_no_nan():
+    # GH#36712
+    dtype = np.bool_
+    arr = np.array([True, False, False], dtype="uint8").view(dtype)
+    result = _maybe_upcast(arr, use_dtype_backend=True)
+
+    expected_mask = np.array([False, False, False])
+    expected = BooleanArray(arr, mask=expected_mask)
+    tm.assert_extension_array_equal(result, expected)
+
+
+def test_maybe_upcaste_all_nan():
+    # GH#36712
+    dtype = np.int64
+    na_value = na_values[dtype]
+    arr = np.array([na_value, na_value], dtype=dtype)
+    result = _maybe_upcast(arr, use_dtype_backend=True)
+
+    expected_mask = np.array([True, True])
+    expected = IntegerArray(arr, mask=expected_mask)
+    tm.assert_extension_array_equal(result, expected)
+
+
+@pytest.mark.parametrize("val", [na_values[np.object_], "c"])
+def test_maybe_upcast_object(val, string_storage):
+    # GH#36712
+    pa = pytest.importorskip("pyarrow")
+
+    with pd.option_context("mode.string_storage", string_storage):
+        arr = np.array(["a", "b", val], dtype=np.object_)
+        result = _maybe_upcast(arr, use_dtype_backend=True)
+
+        if string_storage == "python":
+            exp_val = "c" if val == "c" else NA
+            expected = StringArray(np.array(["a", "b", exp_val], dtype=np.object_))
+        else:
+            exp_val = "c" if val == "c" else None
+            expected = ArrowStringArray(pa.array(["a", "b", exp_val]))
+        tm.assert_extension_array_equal(result, expected)

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/usecols/test_parse_dates.py

@@ -0,0 +1,194 @@
+"""
+Tests the usecols functionality during parsing
+for all of the parsers defined in parsers.py
+"""
+from io import StringIO
+
+import pytest
+
+from pandas import (
+    DataFrame,
+    Index,
+    Timestamp,
+)
+import pandas._testing as tm
+
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
+skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
+
+_msg_pyarrow_requires_names = (
+    "The pyarrow engine does not allow 'usecols' to be integer column "
+    "positions. Pass a list of string column names instead."
+)
+
+
+@pytest.mark.parametrize("usecols", [[0, 2, 3], [3, 0, 2]])
+def test_usecols_with_parse_dates(all_parsers, usecols):
+    # see gh-9755
+    data = """a,b,c,d,e
+0,1,2014-01-01,09:00,4
+0,1,2014-01-02,10:00,4"""
+    parser = all_parsers
+    parse_dates = [[1, 2]]
+
+    depr_msg = (
+        "Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated"
+    )
+
+    cols = {
+        "a": [0, 0],
+        "c_d": [Timestamp("2014-01-01 09:00:00"), Timestamp("2014-01-02 10:00:00")],
+    }
+    expected = DataFrame(cols, columns=["c_d", "a"])
+    if parser.engine == "pyarrow":
+        with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
+            with tm.assert_produces_warning(
+                FutureWarning, match=depr_msg, check_stacklevel=False
+            ):
+                parser.read_csv(
+                    StringIO(data), usecols=usecols, parse_dates=parse_dates
+                )
+        return
+    with tm.assert_produces_warning(
+        FutureWarning, match=depr_msg, check_stacklevel=False
+    ):
+        result = parser.read_csv(
+            StringIO(data), usecols=usecols, parse_dates=parse_dates
+        )
+    tm.assert_frame_equal(result, expected)
+
+
+@skip_pyarrow  # pyarrow.lib.ArrowKeyError: Column 'fdate' in include_columns
+def test_usecols_with_parse_dates2(all_parsers):
+    # see gh-13604
+    parser = all_parsers
+    data = """2008-02-07 09:40,1032.43
+2008-02-07 09:50,1042.54
+2008-02-07 10:00,1051.65"""
+
+    names = ["date", "values"]
+    usecols = names[:]
+    parse_dates = [0]
+
+    index = Index(
+        [
+            Timestamp("2008-02-07 09:40"),
+            Timestamp("2008-02-07 09:50"),
+            Timestamp("2008-02-07 10:00"),
+        ],
+        name="date",
+    )
+    cols = {"values": [1032.43, 1042.54, 1051.65]}
+    expected = DataFrame(cols, index=index)
+
+    result = parser.read_csv(
+        StringIO(data),
+        parse_dates=parse_dates,
+        index_col=0,
+        usecols=usecols,
+        header=None,
+        names=names,
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_with_parse_dates3(all_parsers):
+    # see gh-14792
+    parser = all_parsers
+    data = """a,b,c,d,e,f,g,h,i,j
+2016/09/21,1,1,2,3,4,5,6,7,8"""
+
+    usecols = list("abcdefghij")
+    parse_dates = [0]
+
+    cols = {
+        "a": Timestamp("2016-09-21").as_unit("ns"),
+        "b": [1],
+        "c": [1],
+        "d": [2],
+        "e": [3],
+        "f": [4],
+        "g": [5],
+        "h": [6],
+        "i": [7],
+        "j": [8],
+    }
+    expected = DataFrame(cols, columns=usecols)
+
+    result = parser.read_csv(StringIO(data), usecols=usecols, parse_dates=parse_dates)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_with_parse_dates4(all_parsers):
+    data = "a,b,c,d,e,f,g,h,i,j\n2016/09/21,1,1,2,3,4,5,6,7,8"
+    usecols = list("abcdefghij")
+    parse_dates = [[0, 1]]
+    parser = all_parsers
+
+    cols = {
+        "a_b": "2016/09/21 1",
+        "c": [1],
+        "d": [2],
+        "e": [3],
+        "f": [4],
+        "g": [5],
+        "h": [6],
+        "i": [7],
+        "j": [8],
+    }
+    expected = DataFrame(cols, columns=["a_b"] + list("cdefghij"))
+
+    depr_msg = (
+        "Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated"
+    )
+    with tm.assert_produces_warning(
+        (FutureWarning, DeprecationWarning), match=depr_msg, check_stacklevel=False
+    ):
+        result = parser.read_csv(
+            StringIO(data),
+            usecols=usecols,
+            parse_dates=parse_dates,
+        )
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("usecols", [[0, 2, 3], [3, 0, 2]])
+@pytest.mark.parametrize(
+    "names",
+    [
+        list("abcde"),  # Names span all columns in original data.
+        list("acd"),  # Names span only the selected columns.
+    ],
+)
+def test_usecols_with_parse_dates_and_names(all_parsers, usecols, names, request):
+    # see gh-9755
+    s = """0,1,2014-01-01,09:00,4
+0,1,2014-01-02,10:00,4"""
+    parse_dates = [[1, 2]]
+    parser = all_parsers
+
+    if parser.engine == "pyarrow" and not (len(names) == 3 and usecols[0] == 0):
+        mark = pytest.mark.xfail(
+            reason="Length mismatch in some cases, UserWarning in other"
+        )
+        request.applymarker(mark)
+
+    cols = {
+        "a": [0, 0],
+        "c_d": [Timestamp("2014-01-01 09:00:00"), Timestamp("2014-01-02 10:00:00")],
+    }
+    expected = DataFrame(cols, columns=["c_d", "a"])
+
+    depr_msg = (
+        "Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated"
+    )
+    with tm.assert_produces_warning(
+        (FutureWarning, DeprecationWarning), match=depr_msg, check_stacklevel=False
+    ):
+        result = parser.read_csv(
+            StringIO(s), names=names, parse_dates=parse_dates, usecols=usecols
+        )
+    tm.assert_frame_equal(result, expected)

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/usecols/test_strings.py

@@ -0,0 +1,96 @@
+"""
+Tests the usecols functionality during parsing
+for all of the parsers defined in parsers.py
+"""
+from io import StringIO
+
+import pytest
+
+from pandas import DataFrame
+import pandas._testing as tm
+
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+
+
+def test_usecols_with_unicode_strings(all_parsers):
+    # see gh-13219
+    data = """AAA,BBB,CCC,DDD
+0.056674973,8,True,a
+2.613230982,2,False,b
+3.568935038,7,False,a"""
+    parser = all_parsers
+
+    exp_data = {
+        "AAA": {
+            0: 0.056674972999999997,
+            1: 2.6132309819999997,
+            2: 3.5689350380000002,
+        },
+        "BBB": {0: 8, 1: 2, 2: 7},
+    }
+    expected = DataFrame(exp_data)
+
+    result = parser.read_csv(StringIO(data), usecols=["AAA", "BBB"])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_with_single_byte_unicode_strings(all_parsers):
+    # see gh-13219
+    data = """A,B,C,D
+0.056674973,8,True,a
+2.613230982,2,False,b
+3.568935038,7,False,a"""
+    parser = all_parsers
+
+    exp_data = {
+        "A": {
+            0: 0.056674972999999997,
+            1: 2.6132309819999997,
+            2: 3.5689350380000002,
+        },
+        "B": {0: 8, 1: 2, 2: 7},
+    }
+    expected = DataFrame(exp_data)
+
+    result = parser.read_csv(StringIO(data), usecols=["A", "B"])
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("usecols", [["AAA", b"BBB"], [b"AAA", "BBB"]])
+def test_usecols_with_mixed_encoding_strings(all_parsers, usecols):
+    data = """AAA,BBB,CCC,DDD
+0.056674973,8,True,a
+2.613230982,2,False,b
+3.568935038,7,False,a"""
+    parser = all_parsers
+    _msg_validate_usecols_arg = (
+        "'usecols' must either be list-like "
+        "of all strings, all unicode, all "
+        "integers or a callable."
+    )
+    with pytest.raises(ValueError, match=_msg_validate_usecols_arg):
+        parser.read_csv(StringIO(data), usecols=usecols)
+
+
+@pytest.mark.parametrize("usecols", [["あああ", "いい"], ["あああ", "いい"]])
+def test_usecols_with_multi_byte_characters(all_parsers, usecols):
+    data = """あああ,いい,ううう,ええええ
+0.056674973,8,True,a
+2.613230982,2,False,b
+3.568935038,7,False,a"""
+    parser = all_parsers
+
+    exp_data = {
+        "あああ": {
+            0: 0.056674972999999997,
+            1: 2.6132309819999997,
+            2: 3.5689350380000002,
+        },
+        "いい": {0: 8, 1: 2, 2: 7},
+    }
+    expected = DataFrame(exp_data)
+
+    result = parser.read_csv(StringIO(data), usecols=usecols)
+    tm.assert_frame_equal(result, expected)

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/parser/usecols/test_usecols_basic.py

@@ -0,0 +1,563 @@
+"""
+Tests the usecols functionality during parsing
+for all of the parsers defined in parsers.py
+"""
+from io import StringIO
+
+import numpy as np
+import pytest
+
+from pandas.errors import ParserError
+
+from pandas import (
+    DataFrame,
+    Index,
+    array,
+)
+import pandas._testing as tm
+
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+
+_msg_validate_usecols_arg = (
+    "'usecols' must either be list-like "
+    "of all strings, all unicode, all "
+    "integers or a callable."
+)
+_msg_validate_usecols_names = (
+    "Usecols do not match columns, columns expected but not found: {0}"
+)
+_msg_pyarrow_requires_names = (
+    "The pyarrow engine does not allow 'usecols' to be integer column "
+    "positions. Pass a list of string column names instead."
+)
+
+xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
+skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
+
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame is deprecated:DeprecationWarning"
+)
+
+
+def test_raise_on_mixed_dtype_usecols(all_parsers):
+    # See gh-12678
+    data = """a,b,c
+        1000,2000,3000
+        4000,5000,6000
+        """
+    usecols = [0, "b", 2]
+    parser = all_parsers
+
+    with pytest.raises(ValueError, match=_msg_validate_usecols_arg):
+        parser.read_csv(StringIO(data), usecols=usecols)
+
+
+@pytest.mark.parametrize("usecols", [(1, 2), ("b", "c")])
+def test_usecols(all_parsers, usecols, request):
+    data = """\
+a,b,c
+1,2,3
+4,5,6
+7,8,9
+10,11,12"""
+    parser = all_parsers
+    if parser.engine == "pyarrow" and isinstance(usecols[0], int):
+        with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
+            parser.read_csv(StringIO(data), usecols=usecols)
+        return
+
+    result = parser.read_csv(StringIO(data), usecols=usecols)
+
+    expected = DataFrame([[2, 3], [5, 6], [8, 9], [11, 12]], columns=["b", "c"])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_with_names(all_parsers):
+    data = """\
+a,b,c
+1,2,3
+4,5,6
+7,8,9
+10,11,12"""
+    parser = all_parsers
+    names = ["foo", "bar"]
+
+    if parser.engine == "pyarrow":
+        with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
+            parser.read_csv(StringIO(data), names=names, usecols=[1, 2], header=0)
+        return
+
+    result = parser.read_csv(StringIO(data), names=names, usecols=[1, 2], header=0)
+
+    expected = DataFrame([[2, 3], [5, 6], [8, 9], [11, 12]], columns=names)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "names,usecols", [(["b", "c"], [1, 2]), (["a", "b", "c"], ["b", "c"])]
+)
+def test_usecols_relative_to_names(all_parsers, names, usecols):
+    data = """\
+1,2,3
+4,5,6
+7,8,9
+10,11,12"""
+    parser = all_parsers
+    if parser.engine == "pyarrow" and not isinstance(usecols[0], int):
+        # ArrowKeyError: Column 'fb' in include_columns does not exist
+        pytest.skip(reason="https://github.com/apache/arrow/issues/38676")
+
+    result = parser.read_csv(StringIO(data), names=names, header=None, usecols=usecols)
+
+    expected = DataFrame([[2, 3], [5, 6], [8, 9], [11, 12]], columns=["b", "c"])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_relative_to_names2(all_parsers):
+    # see gh-5766
+    data = """\
+1,2,3
+4,5,6
+7,8,9
+10,11,12"""
+    parser = all_parsers
+
+    result = parser.read_csv(
+        StringIO(data), names=["a", "b"], header=None, usecols=[0, 1]
+    )
+
+    expected = DataFrame([[1, 2], [4, 5], [7, 8], [10, 11]], columns=["a", "b"])
+    tm.assert_frame_equal(result, expected)
+
+
+# regex mismatch: "Length mismatch: Expected axis has 1 elements"
+@xfail_pyarrow
+def test_usecols_name_length_conflict(all_parsers):
+    data = """\
+1,2,3
+4,5,6
+7,8,9
+10,11,12"""
+    parser = all_parsers
+    msg = "Number of passed names did not match number of header fields in the file"
+    with pytest.raises(ValueError, match=msg):
+        parser.read_csv(StringIO(data), names=["a", "b"], header=None, usecols=[1])
+
+
+def test_usecols_single_string(all_parsers):
+    # see gh-20558
+    parser = all_parsers
+    data = """foo, bar, baz
+1000, 2000, 3000
+4000, 5000, 6000"""
+
+    with pytest.raises(ValueError, match=_msg_validate_usecols_arg):
+        parser.read_csv(StringIO(data), usecols="foo")
+
+
+@skip_pyarrow  # CSV parse error in one case, AttributeError in another
+@pytest.mark.parametrize(
+    "data", ["a,b,c,d\n1,2,3,4\n5,6,7,8", "a,b,c,d\n1,2,3,4,\n5,6,7,8,"]
+)
+def test_usecols_index_col_false(all_parsers, data):
+    # see gh-9082
+    parser = all_parsers
+    usecols = ["a", "c", "d"]
+    expected = DataFrame({"a": [1, 5], "c": [3, 7], "d": [4, 8]})
+
+    result = parser.read_csv(StringIO(data), usecols=usecols, index_col=False)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("index_col", ["b", 0])
+@pytest.mark.parametrize("usecols", [["b", "c"], [1, 2]])
+def test_usecols_index_col_conflict(all_parsers, usecols, index_col, request):
+    # see gh-4201: test that index_col as integer reflects usecols
+    parser = all_parsers
+    data = "a,b,c,d\nA,a,1,one\nB,b,2,two"
+
+    if parser.engine == "pyarrow" and isinstance(usecols[0], int):
+        with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
+            parser.read_csv(StringIO(data), usecols=usecols, index_col=index_col)
+        return
+
+    expected = DataFrame({"c": [1, 2]}, index=Index(["a", "b"], name="b"))
+
+    result = parser.read_csv(StringIO(data), usecols=usecols, index_col=index_col)
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_index_col_conflict2(all_parsers):
+    # see gh-4201: test that index_col as integer reflects usecols
+    parser = all_parsers
+    data = "a,b,c,d\nA,a,1,one\nB,b,2,two"
+
+    expected = DataFrame({"b": ["a", "b"], "c": [1, 2], "d": ("one", "two")})
+    expected = expected.set_index(["b", "c"])
+
+    result = parser.read_csv(
+        StringIO(data), usecols=["b", "c", "d"], index_col=["b", "c"]
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+@skip_pyarrow  # CSV parse error: Expected 3 columns, got 4
+def test_usecols_implicit_index_col(all_parsers):
+    # see gh-2654
+    parser = all_parsers
+    data = "a,b,c\n4,apple,bat,5.7\n8,orange,cow,10"
+
+    result = parser.read_csv(StringIO(data), usecols=["a", "b"])
+    expected = DataFrame({"a": ["apple", "orange"], "b": ["bat", "cow"]}, index=[4, 8])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_index_col_middle(all_parsers):
+    # GH#9098
+    parser = all_parsers
+    data = """a,b,c,d
+1,2,3,4
+"""
+    result = parser.read_csv(StringIO(data), usecols=["b", "c", "d"], index_col="c")
+    expected = DataFrame({"b": [2], "d": [4]}, index=Index([3], name="c"))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_index_col_end(all_parsers):
+    # GH#9098
+    parser = all_parsers
+    data = """a,b,c,d
+1,2,3,4
+"""
+    result = parser.read_csv(StringIO(data), usecols=["b", "c", "d"], index_col="d")
+    expected = DataFrame({"b": [2], "c": [3]}, index=Index([4], name="d"))
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_regex_sep(all_parsers):
+    # see gh-2733
+    parser = all_parsers
+    data = "a  b  c\n4  apple  bat  5.7\n8  orange  cow  10"
+
+    if parser.engine == "pyarrow":
+        msg = "the 'pyarrow' engine does not support regex separators"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(StringIO(data), sep=r"\s+", usecols=("a", "b"))
+        return
+
+    result = parser.read_csv(StringIO(data), sep=r"\s+", usecols=("a", "b"))
+
+    expected = DataFrame({"a": ["apple", "orange"], "b": ["bat", "cow"]}, index=[4, 8])
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_with_whitespace(all_parsers):
+    parser = all_parsers
+    data = "a  b  c\n4  apple  bat  5.7\n8  orange  cow  10"
+
+    depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated"
+
+    if parser.engine == "pyarrow":
+        msg = "The 'delim_whitespace' option is not supported with the 'pyarrow' engine"
+        with pytest.raises(ValueError, match=msg):
+            with tm.assert_produces_warning(
+                FutureWarning, match=depr_msg, check_stacklevel=False
+            ):
+                parser.read_csv(
+                    StringIO(data), delim_whitespace=True, usecols=("a", "b")
+                )
+        return
+
+    with tm.assert_produces_warning(
+        FutureWarning, match=depr_msg, check_stacklevel=False
+    ):
+        result = parser.read_csv(
+            StringIO(data), delim_whitespace=True, usecols=("a", "b")
+        )
+    expected = DataFrame({"a": ["apple", "orange"], "b": ["bat", "cow"]}, index=[4, 8])
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "usecols,expected",
+    [
+        # Column selection by index.
+        ([0, 1], DataFrame(data=[[1000, 2000], [4000, 5000]], columns=["2", "0"])),
+        # Column selection by name.
+        (
+            ["0", "1"],
+            DataFrame(data=[[2000, 3000], [5000, 6000]], columns=["0", "1"]),
+        ),
+    ],
+)
+def test_usecols_with_integer_like_header(all_parsers, usecols, expected, request):
+    parser = all_parsers
+    data = """2,0,1
+1000,2000,3000
+4000,5000,6000"""
+
+    if parser.engine == "pyarrow" and isinstance(usecols[0], int):
+        with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
+            parser.read_csv(StringIO(data), usecols=usecols)
+        return
+
+    result = parser.read_csv(StringIO(data), usecols=usecols)
+    tm.assert_frame_equal(result, expected)
+
+
+@xfail_pyarrow  # mismatched shape
+def test_empty_usecols(all_parsers):
+    data = "a,b,c\n1,2,3\n4,5,6"
+    expected = DataFrame(columns=Index([]))
+    parser = all_parsers
+
+    result = parser.read_csv(StringIO(data), usecols=set())
+    tm.assert_frame_equal(result, expected)
+
+
+def test_np_array_usecols(all_parsers):
+    # see gh-12546
+    parser = all_parsers
+    data = "a,b,c\n1,2,3"
+    usecols = np.array(["a", "b"])
+
+    expected = DataFrame([[1, 2]], columns=usecols)
+    result = parser.read_csv(StringIO(data), usecols=usecols)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "usecols,expected",
+    [
+        (
+            lambda x: x.upper() in ["AAA", "BBB", "DDD"],
+            DataFrame(
+                {
+                    "AaA": {
+                        0: 0.056674972999999997,
+                        1: 2.6132309819999997,
+                        2: 3.5689350380000002,
+                    },
+                    "bBb": {0: 8, 1: 2, 2: 7},
+                    "ddd": {0: "a", 1: "b", 2: "a"},
+                }
+            ),
+        ),
+        (lambda x: False, DataFrame(columns=Index([]))),
+    ],
+)
+def test_callable_usecols(all_parsers, usecols, expected):
+    # see gh-14154
+    data = """AaA,bBb,CCC,ddd
+0.056674973,8,True,a
+2.613230982,2,False,b
+3.568935038,7,False,a"""
+    parser = all_parsers
+
+    if parser.engine == "pyarrow":
+        msg = "The pyarrow engine does not allow 'usecols' to be a callable"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(StringIO(data), usecols=usecols)
+        return
+
+    result = parser.read_csv(StringIO(data), usecols=usecols)
+    tm.assert_frame_equal(result, expected)
+
+
+# ArrowKeyError: Column 'fa' in include_columns does not exist in CSV file
+@skip_pyarrow
+@pytest.mark.parametrize("usecols", [["a", "c"], lambda x: x in ["a", "c"]])
+def test_incomplete_first_row(all_parsers, usecols):
+    # see gh-6710
+    data = "1,2\n1,2,3"
+    parser = all_parsers
+    names = ["a", "b", "c"]
+    expected = DataFrame({"a": [1, 1], "c": [np.nan, 3]})
+
+    result = parser.read_csv(StringIO(data), names=names, usecols=usecols)
+    tm.assert_frame_equal(result, expected)
+
+
+@skip_pyarrow  # CSV parse error: Expected 3 columns, got 4
+@pytest.mark.parametrize(
+    "data,usecols,kwargs,expected",
+    [
+        # see gh-8985
+        (
+            "19,29,39\n" * 2 + "10,20,30,40",
+            [0, 1, 2],
+            {"header": None},
+            DataFrame([[19, 29, 39], [19, 29, 39], [10, 20, 30]]),
+        ),
+        # see gh-9549
+        (
+            ("A,B,C\n1,2,3\n3,4,5\n1,2,4,5,1,6\n1,2,3,,,1,\n1,2,3\n5,6,7"),
+            ["A", "B", "C"],
+            {},
+            DataFrame(
+                {
+                    "A": [1, 3, 1, 1, 1, 5],
+                    "B": [2, 4, 2, 2, 2, 6],
+                    "C": [3, 5, 4, 3, 3, 7],
+                }
+            ),
+        ),
+    ],
+)
+def test_uneven_length_cols(all_parsers, data, usecols, kwargs, expected):
+    # see gh-8985
+    parser = all_parsers
+    result = parser.read_csv(StringIO(data), usecols=usecols, **kwargs)
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "usecols,kwargs,expected,msg",
+    [
+        (
+            ["a", "b", "c", "d"],
+            {},
+            DataFrame({"a": [1, 5], "b": [2, 6], "c": [3, 7], "d": [4, 8]}),
+            None,
+        ),
+        (
+            ["a", "b", "c", "f"],
+            {},
+            None,
+            _msg_validate_usecols_names.format(r"\['f'\]"),
+        ),
+        (["a", "b", "f"], {}, None, _msg_validate_usecols_names.format(r"\['f'\]")),
+        (
+            ["a", "b", "f", "g"],
+            {},
+            None,
+            _msg_validate_usecols_names.format(r"\[('f', 'g'|'g', 'f')\]"),
+        ),
+        # see gh-14671
+        (
+            None,
+            {"header": 0, "names": ["A", "B", "C", "D"]},
+            DataFrame({"A": [1, 5], "B": [2, 6], "C": [3, 7], "D": [4, 8]}),
+            None,
+        ),
+        (
+            ["A", "B", "C", "f"],
+            {"header": 0, "names": ["A", "B", "C", "D"]},
+            None,
+            _msg_validate_usecols_names.format(r"\['f'\]"),
+        ),
+        (
+            ["A", "B", "f"],
+            {"names": ["A", "B", "C", "D"]},
+            None,
+            _msg_validate_usecols_names.format(r"\['f'\]"),
+        ),
+    ],
+)
+def test_raises_on_usecols_names_mismatch(
+    all_parsers, usecols, kwargs, expected, msg, request
+):
+    data = "a,b,c,d\n1,2,3,4\n5,6,7,8"
+    kwargs.update(usecols=usecols)
+    parser = all_parsers
+
+    if parser.engine == "pyarrow" and not (
+        usecols is not None and expected is not None
+    ):
+        # everything but the first case
+        # ArrowKeyError: Column 'f' in include_columns does not exist in CSV file
+        pytest.skip(reason="https://github.com/apache/arrow/issues/38676")
+
+    if expected is None:
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(StringIO(data), **kwargs)
+    else:
+        result = parser.read_csv(StringIO(data), **kwargs)
+        tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("usecols", [["A", "C"], [0, 2]])
+def test_usecols_subset_names_mismatch_orig_columns(all_parsers, usecols, request):
+    data = "a,b,c,d\n1,2,3,4\n5,6,7,8"
+    names = ["A", "B", "C", "D"]
+    parser = all_parsers
+
+    if parser.engine == "pyarrow":
+        if isinstance(usecols[0], int):
+            with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
+                parser.read_csv(StringIO(data), header=0, names=names, usecols=usecols)
+            return
+        # "pyarrow.lib.ArrowKeyError: Column 'A' in include_columns does not exist"
+        pytest.skip(reason="https://github.com/apache/arrow/issues/38676")
+
+    result = parser.read_csv(StringIO(data), header=0, names=names, usecols=usecols)
+    expected = DataFrame({"A": [1, 5], "C": [3, 7]})
+    tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("names", [None, ["a", "b"]])
+def test_usecols_indices_out_of_bounds(all_parsers, names):
+    # GH#25623 & GH 41130; enforced in 2.0
+    parser = all_parsers
+    data = """
+a,b
+1,2
+    """
+
+    err = ParserError
+    msg = "Defining usecols with out-of-bounds"
+    if parser.engine == "pyarrow":
+        err = ValueError
+        msg = _msg_pyarrow_requires_names
+
+    with pytest.raises(err, match=msg):
+        parser.read_csv(StringIO(data), usecols=[0, 2], names=names, header=0)
+
+
+def test_usecols_additional_columns(all_parsers):
+    # GH#46997
+    parser = all_parsers
+    usecols = lambda header: header.strip() in ["a", "b", "c"]
+
+    if parser.engine == "pyarrow":
+        msg = "The pyarrow engine does not allow 'usecols' to be a callable"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(StringIO("a,b\nx,y,z"), index_col=False, usecols=usecols)
+        return
+    result = parser.read_csv(StringIO("a,b\nx,y,z"), index_col=False, usecols=usecols)
+    expected = DataFrame({"a": ["x"], "b": "y"})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_additional_columns_integer_columns(all_parsers):
+    # GH#46997
+    parser = all_parsers
+    usecols = lambda header: header.strip() in ["0", "1"]
+    if parser.engine == "pyarrow":
+        msg = "The pyarrow engine does not allow 'usecols' to be a callable"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(StringIO("0,1\nx,y,z"), index_col=False, usecols=usecols)
+        return
+    result = parser.read_csv(StringIO("0,1\nx,y,z"), index_col=False, usecols=usecols)
+    expected = DataFrame({"0": ["x"], "1": "y"})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_usecols_dtype(all_parsers):
+    parser = all_parsers
+    data = """
+col1,col2,col3
+a,1,x
+b,2,y
+"""
+    result = parser.read_csv(
+        StringIO(data),
+        usecols=["col1", "col2"],
+        dtype={"col1": "string", "col2": "uint8", "col3": "string"},
+    )
+    expected = DataFrame(
+        {"col1": array(["a", "b"]), "col2": np.array([1, 2], dtype="uint8")}
+    )
+    tm.assert_frame_equal(result, expected)

.venv_haddock/lib/python3.12/site-packages/pandas/tests/io/pytables/common.py

@@ -0,0 +1,50 @@
+from collections.abc import Generator
+from contextlib import contextmanager
+import pathlib
+import tempfile
+
+import pytest
+
+from pandas.io.pytables import HDFStore
+
+tables = pytest.importorskip("tables")
+# set these parameters so we don't have file sharing
+tables.parameters.MAX_NUMEXPR_THREADS = 1
+tables.parameters.MAX_BLOSC_THREADS = 1
+tables.parameters.MAX_THREADS = 1
+
+
+def safe_close(store):
+    try:
+        if store is not None:
+            store.close()
+    except OSError:
+        pass
+
+
+# contextmanager to ensure the file cleanup
+@contextmanager
+def ensure_clean_store(
+    path, mode="a", complevel=None, complib=None, fletcher32=False
+) -> Generator[HDFStore, None, None]:
+    with tempfile.TemporaryDirectory() as tmpdirname:
+        tmp_path = pathlib.Path(tmpdirname, path)
+        with HDFStore(
+            tmp_path,
+            mode=mode,
+            complevel=complevel,
+            complib=complib,
+            fletcher32=fletcher32,
+        ) as store:
+            yield store
+
+
+def _maybe_remove(store, key):
+    """
+    For tests using tables, try removing the table to be sure there is
+    no content from previous tests using the same table name.
+    """
+    try:
+        store.remove(key)
+    except (ValueError, KeyError):
+        pass